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PRINCIPLES OF SOFT COMPUTING (With CD )

Author : S.N.Sivanandam & S.N.Deepa
Publisher : John Wiley & Sons
ISBN 13 : 9788126510757
Total Pages : 768 pages
Book Rating : 4.5/5 (17 download)

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Book Synopsis PRINCIPLES OF SOFT COMPUTING (With CD ) by : S.N.Sivanandam & S.N.Deepa

Download or read book PRINCIPLES OF SOFT COMPUTING (With CD ) written by S.N.Sivanandam & S.N.Deepa and published by John Wiley & Sons. This book was released on 2007-06 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · B. Tech (UG) students of CSE, IT, ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: Dr. S. N. Sivanandam has published 12 books· He has delivered around 150 special lectures of different specialization in Summer/Winter school and also in various Engineering colleges· He has guided and co guided 30 PhD research works and at present 9 PhD research scholars are working under him· The total number of technical publications in International/National Journals/Conferences is around 700· He has also received Certificate of Merit 2005-2006 for his paper from The Institution of Engineers (India)· He has chaired 7 International Conferences and 30 National Conferences. He is a member of various professional bodies like IE (India), ISTE, CSI, ACS and SSI. He is a technical advisor for various reputed industries and engineering institutions· His research areas include Modeling and Simulation, Neural Networks, Fuzzy Systems and Genetic Algorithm, Pattern Recognition, Multidimensional system analysis, Linear and Nonlinear control system, Signal and Image processing, Control System, Power system, Numerical methods, Parallel Computing, Data Mining and Database Security About The Book: This book is meant for a wide range of readers who wish to learn the basic concepts of soft computing. It can also be helpful for programmers, researchers and management experts who use soft computing techniques. The basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort.

PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD )

Author : S. N. Sivanandam
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4./5 ( download)

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Book Synopsis PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD ) by : S. N. Sivanandam

Download or read book PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD ) written by S. N. Sivanandam and published by John Wiley & Sons. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · B. Tech (UG) students ofü CSEü ITü ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: · Detailed explanation of soft computing concepts.· Study on various artificial neural network architecture.· Description on fuzzy logic techniques.· Introduction to genetic algorithm and its types for solving optimization problems.· Numerous artificial neural network, fuzzy logic and genetic algorithm problems.· Implementation of soft computing techniques using C and C++.· Simulated solutions for soft computing concepts using MATLAB package.· Application case studies on soft computing techniques on emerging fields.· Various hybrid soft computing techniques.New in this edition· Certain topics have been added such as:ü Fundamentals of Genetic Algorithmsü Genetic Modelingü Integration of Neural Networks, Fuzzy Logic, and Genetic Algorithms· A new chapter Hybrid Soft Computing Techniques has been added bringing the advantages of combining individual techniques.· 5 Sample Question Papers have been added at the end of the book. Accompanying CD contains · Power point presentations· Source Codes for Soft Computing Techniques in C· MATLAB Source Code Programs About The Book: In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort.The book can be used as a handbook as well as a guide for students of all engineering disciplines, soft computing research scholars, management sector, operational research area, computer applications and for various professionals who work in this area.

Principles of Soft Computing

Author : S. N. Sivanandam
Publisher :
ISBN 13 : 9788126587445
Total Pages : pages
Book Rating : 4.5/5 (874 download)

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Book Synopsis Principles of Soft Computing by : S. N. Sivanandam

Download or read book Principles of Soft Computing written by S. N. Sivanandam and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Author : Punit Gupta
Publisher : CRC Press
ISBN 13 : 1003859038
Total Pages : 253 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Soft Computing Principles and Integration for Real-Time Service-Oriented Computing by : Punit Gupta

Download or read book Soft Computing Principles and Integration for Real-Time Service-Oriented Computing written by Punit Gupta and published by CRC Press. This book was released on 2024-03-22 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include: A general introduction to soft computing An extensive literature study of soft computing techniques and emerging trends Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction An IoT based framework for real time data collection and analysis using soft computing

Principles of Soft Computing Using Python Programming

Author : Gypsy Nandi
Publisher : John Wiley & Sons
ISBN 13 : 1394173156
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Principles of Soft Computing Using Python Programming by : Gypsy Nandi

Download or read book Principles of Soft Computing Using Python Programming written by Gypsy Nandi and published by John Wiley & Sons. This book was released on 2023-11-28 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind’s unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applications Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.

Soft Computing

Author : Dilip Kumar Pratihar
Publisher : Alpha Science International, Limited
ISBN 13 : 9781842658635
Total Pages : 0 pages
Book Rating : 4.6/5 (586 download)

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Book Synopsis Soft Computing by : Dilip Kumar Pratihar

Download or read book Soft Computing written by Dilip Kumar Pratihar and published by Alpha Science International, Limited. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: SOFT COMPUTING: Fundamentals and Applications starts with an introduction to soft computing, a family consists of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs), and others. To realize the need for a non-traditional optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in detail. The mechanisms of some specialized GAs are then discussed with some appropriate examples. The working principles of some other non-traditional optimization tools like Simulated Annealing (SA) and Particle Swarm Optimization (PSO) are discussed in detail. Multi-objective optimization has been dealt in a separate chapter, where the working principles of a few approaches are explained. Fuzzy sets are introduced before explaining the principle of fuzzy reasoning and clustering. The fundamentals of NNs are presented, prior to the discussion on various forms of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are then explained, and the last chapter deals with the applications of soft computing in two different fields of research. It has been written to fulfill the requirements of a large number of readers belonging to various disciplines of engineering and general sciences. The algorithms are discussed with a number of solved numerical examples. It will be very much helpful to the students, scientists and practicing engineers.

Principles of Computer System Design

Author : Jerome H. Saltzer
Publisher : Morgan Kaufmann
ISBN 13 : 0080959423
Total Pages : 561 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Principles of Computer System Design by : Jerome H. Saltzer

Download or read book Principles of Computer System Design written by Jerome H. Saltzer and published by Morgan Kaufmann. This book was released on 2009-05-21 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture. Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs. The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. Concepts of computer system design guided by fundamental principles Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) Numerous pseudocode fragments that provide concrete examples of abstract concepts Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects

Soft Computing

Author : D. K. Pratihar
Publisher : Alpha Science International, Limited
ISBN 13 : 9781783322053
Total Pages : 296 pages
Book Rating : 4.3/5 (22 download)

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Book Synopsis Soft Computing by : D. K. Pratihar

Download or read book Soft Computing written by D. K. Pratihar and published by Alpha Science International, Limited. This book was released on 2015-06-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing starts with an introduction to soft computing, a family consists of many members, namely genetic algorithms (GAs), fuzzy logic (FL), neural networks (NNs), and others. To realize the need for a non-traditional optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in detail. The mechanisms of some specialized GAs are then discussed with some appropriate examples. The working principles of some other non-traditional optimization tools like simulated annealing (SA) and particle swarm optimization (PSO) are discussed in detail. Multi-objective optimization has been dealt in a separate chapter, where the working principles of a few approaches are explained. Fuzzy sets are introduced before explaining the principle of fuzzy reasoning and clustering. The fundamentals of NNs are presented, prior to the discussion on various forms of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are then explained, and the last chapter deals with the applications of soft computing in two different fields of research. It has been written to fulfill the requirements of a large number of readers belonging to various disciplines of engineering and general sciences. The algorithms are discussed with a number of solved numerical examples. It will be very much helpful to the students, scientists and practicing engineers.

Principles of Soft Computing Using Python Programming

Author : Gypsy Nandi
Publisher : John Wiley & Sons
ISBN 13 : 139417313X
Total Pages : 356 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Principles of Soft Computing Using Python Programming by : Gypsy Nandi

Download or read book Principles of Soft Computing Using Python Programming written by Gypsy Nandi and published by John Wiley & Sons. This book was released on 2023-12-19 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Soft Computing Using Python Programming An accessible guide to the revolutionary techniques of soft computing Soft computing is a computing approach designed to replicate the human mind’s unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. Principles of Soft Computing Using Python Programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. Readers of Principles of Soft Computing Using Python Programming will also find: Each chapter accompanied with Python codes and step-by-step comments to illustrate applications Detailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more Exercises at the end of each chapter including both short- and long-answer questions to reinforce learning Principles of Soft Computing Using Python Programming is ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.

Design Principles for Interactive Software

Author : Gilbert Cockton
Publisher : Springer
ISBN 13 : 038734912X
Total Pages : 258 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Design Principles for Interactive Software by : Gilbert Cockton

Download or read book Design Principles for Interactive Software written by Gilbert Cockton and published by Springer. This book was released on 2013-04-17 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: IFIP's Working Group 2.7(13.4)* has, since its establishment in 1974, con centrated on the software problems of user interfaces. From its original interest in operating systems interfaces the group has gradually shifted em phasis towards the development of interactive systems. The group has orga nized a number of international working conferences on interactive software technology, the proceedings of which have contributed to the accumulated knowledge in the field. The current title of the Working Group is 'User Interface Engineering', with the aim of investigating the nature, concepts, and construction of user interfaces for software systems. The scope of work involved is: - to increase understanding of the development of interactive systems; - to provide a framework for reasoning about interactive systems; - to provide engineering models for their development. This report addresses all three aspects of the scope, as further described below. In 1986 the working group published a report (Beech, 1986) with an object-oriented reference model for describing the components of operating systems interfaces. The modelwas implementation oriented and built on an object concept and the notion of interaction as consisting of commands and responses. Through working with that model the group addressed a number of issues, such as multi-media and multi-modal interfaces, customizable in terfaces, and history logging. However, a conclusion was reached that many software design considerations and principles are independent of implemen tation models, but do depend on the nature of the interaction process.

The Elements of Computing Systems

Author : Noam Nisan
Publisher :
ISBN 13 : 0262640686
Total Pages : 343 pages
Book Rating : 4.2/5 (626 download)

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Book Synopsis The Elements of Computing Systems by : Noam Nisan

Download or read book The Elements of Computing Systems written by Noam Nisan and published by . This book was released on 2008 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.

Handbook on Soft Computing for Video Surveillance

Author : Sankar K. Pal
Publisher : CRC Press
ISBN 13 : 1439856842
Total Pages : 344 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Handbook on Soft Computing for Video Surveillance by : Sankar K. Pal

Download or read book Handbook on Soft Computing for Video Surveillance written by Sankar K. Pal and published by CRC Press. This book was released on 2012-01-25 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing. It demonstrates why and how soft computing methodologies can be used in various video surveillance problems.

Soft Computing Principles

Author : Adam L. Webster
Publisher : CreateSpace
ISBN 13 : 9781508728719
Total Pages : 138 pages
Book Rating : 4.7/5 (287 download)

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Book Synopsis Soft Computing Principles by : Adam L. Webster

Download or read book Soft Computing Principles written by Adam L. Webster and published by CreateSpace. This book was released on 2015-03-07 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will cover the introduction to the Topic and can be used as a very useful study material for those who want to learn the topic in brief via a short and complete book. We hope you find this book useful is shaping your future career, Iwork keynote Tips, Soft Computing Principles is one of the books covering various topics of science, technology and management published by London College of Information Technology. Please feel free to send us your enquiries related to our publications to [email protected]

Neuro-fuzzy and Soft Computing

Author : Jyh-Shing Roger Jang
Publisher : Pearson Education
ISBN 13 :
Total Pages : 658 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Neuro-fuzzy and Soft Computing by : Jyh-Shing Roger Jang

Download or read book Neuro-fuzzy and Soft Computing written by Jyh-Shing Roger Jang and published by Pearson Education. This book was released on 1997 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

New Concepts and Applications in Soft Computing

Author : Valentina Emilia Balas
Publisher : Springer
ISBN 13 : 3642289592
Total Pages : 222 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis New Concepts and Applications in Soft Computing by : Valentina Emilia Balas

Download or read book New Concepts and Applications in Soft Computing written by Valentina Emilia Balas and published by Springer. This book was released on 2012-07-20 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a sample of research on the innovative theory and applications of soft computing paradigms. The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind. We hope that the reader will share our excitement and find our volume both useful and inspiring.

Mathematical Principles for Scientific Computing and Visualization

Author : Gerald Farin
Publisher : CRC Press
ISBN 13 : 1439865043
Total Pages : 286 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Mathematical Principles for Scientific Computing and Visualization by : Gerald Farin

Download or read book Mathematical Principles for Scientific Computing and Visualization written by Gerald Farin and published by CRC Press. This book was released on 2008-10-21 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coo

NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM

Author : S. RAJASEKARAN
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120321863
Total Pages : 459 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM by : S. RAJASEKARAN

Download or read book NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM written by S. RAJASEKARAN and published by PHI Learning Pvt. Ltd.. This book was released on 2003-01-01 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.