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Principles of Artificial Neural Networks

Author : Daniel Graupe
Publisher : World Scientific
ISBN 13 : 9812770577
Total Pages : 320 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Principles of Artificial Neural Networks by : Daniel Graupe

Download or read book Principles of Artificial Neural Networks written by Daniel Graupe and published by World Scientific. This book was released on 2007 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.

Elements of Artificial Neural Networks

Author : Kishan Mehrotra
Publisher : MIT Press
ISBN 13 : 9780262133289
Total Pages : 376 pages
Book Rating : 4.1/5 (332 download)

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Book Synopsis Elements of Artificial Neural Networks by : Kishan Mehrotra

Download or read book Elements of Artificial Neural Networks written by Kishan Mehrotra and published by MIT Press. This book was released on 1997 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.

Australian Horror Films, 1973-2010

Author : Peter Shelley
Publisher : McFarland
ISBN 13 : 0786489936
Total Pages : 327 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Australian Horror Films, 1973-2010 by : Peter Shelley

Download or read book Australian Horror Films, 1973-2010 written by Peter Shelley and published by McFarland. This book was released on 2012-09-18 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This pioneering work provides in-depth coverage of 76 horror films produced in Australia, where serial killers, carnivorous animals, mutants, zombies, vampires and evil spirits all receive the "antipodean" cinematic treatment unique to the Land Down Under. Titles covered were released between 1973 and 2010, a period coinciding with the revival of the long-dormant Australian film industry in the early 1970s, and continuing into the second wave of genre production spurred by the international success of the 2005 chiller Wolf Creek. The Cars That Ate Paris, The Last Wave, Roadgames, Razorback, Outback Vampires, Queen of the Damned, Black Water, and The Reef are among the titles represented. Each film is covered in a chapter that includes a cast and credits list, release information, contemporary reviews and DVD availability, as well as a synopsis and in-depth notes about the story, filmmaking techniques, acting performances, recurring themes and motifs, and overall effectiveness of the film as a work of horror.

Godey's Lady's Book

Author : Louis Antoine Godey
Publisher :
ISBN 13 :
Total Pages : 1268 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Godey's Lady's Book by : Louis Antoine Godey

Download or read book Godey's Lady's Book written by Louis Antoine Godey and published by . This book was released on 1853 with total page 1268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes music.

Artificial Intelligence for Cognitive Modeling

Author : Pijush Dutta
Publisher : CRC Press
ISBN 13 : 1000864243
Total Pages : 451 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Artificial Intelligence for Cognitive Modeling by : Pijush Dutta

Download or read book Artificial Intelligence for Cognitive Modeling written by Pijush Dutta and published by CRC Press. This book was released on 2023-04-19 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Holstein-Friesian Herd-book

Author : Holstein-Friesian Association of America
Publisher :
ISBN 13 :
Total Pages : 2056 pages
Book Rating : 4.:/5 (32 download)

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Book Synopsis Holstein-Friesian Herd-book by : Holstein-Friesian Association of America

Download or read book Holstein-Friesian Herd-book written by Holstein-Friesian Association of America and published by . This book was released on 1922 with total page 2056 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Author : Graupe Daniel
Publisher : World Scientific
ISBN 13 : 9811201242
Total Pages : 440 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) by : Graupe Daniel

Download or read book Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition) written by Graupe Daniel and published by World Scientific. This book was released on 2019-03-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Naturally Intelligent Systems

Author : Maureen Caudill
Publisher : MIT Press
ISBN 13 : 9780262531139
Total Pages : 324 pages
Book Rating : 4.5/5 (311 download)

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Book Synopsis Naturally Intelligent Systems by : Maureen Caudill

Download or read book Naturally Intelligent Systems written by Maureen Caudill and published by MIT Press. This book was released on 1990 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Naturally Intelligent Systems offers a comprehensive introduction to neural networks.

Handbook of Neural Computation

Author : E Fiesler
Publisher : CRC Press
ISBN 13 : 1420050648
Total Pages : 1094 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Neural Computation by : E Fiesler

Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

Holstein-Friesian Herd-book, Containing a Record of All Holstein-Friesian Cattle ...

Author : Holstein-Friesian Association of America
Publisher :
ISBN 13 :
Total Pages : 1742 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Holstein-Friesian Herd-book, Containing a Record of All Holstein-Friesian Cattle ... by : Holstein-Friesian Association of America

Download or read book Holstein-Friesian Herd-book, Containing a Record of All Holstein-Friesian Cattle ... written by Holstein-Friesian Association of America and published by . This book was released on 1925 with total page 1742 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Curse of the Claverings

Author : Mrs. Frances Grahame
Publisher :
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.V/5 ( download)

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Book Synopsis The Curse of the Claverings by : Mrs. Frances Grahame

Download or read book The Curse of the Claverings written by Mrs. Frances Grahame and published by . This book was released on 1866 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical AI for Cybersecurity

Author : Ravi Das
Publisher : CRC Press
ISBN 13 : 1000349438
Total Pages : 274 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Practical AI for Cybersecurity by : Ravi Das

Download or read book Practical AI for Cybersecurity written by Ravi Das and published by CRC Press. This book was released on 2021-02-26 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of cybersecurity and the landscape that it possesses is changing on a dynamic basis. It seems like that hardly one threat vector is launched, new variants of it are already on the way. IT Security teams in businesses and corporations are struggling daily to fight off any cyberthreats that they are experiencing. On top of this, they are also asked by their CIO or CISO to model what future Cyberattacks could potentially look like, and ways as to how the lines of defenses can be further enhanced. IT Security teams are overburdened and are struggling to find ways in order to keep up with what they are being asked to do. Trying to model the cyberthreat landscape is a very laborious process, because it takes a lot of time to analyze datasets from many intelligence feeds. What can be done to accomplish this Herculean task? The answer lies in Artificial Intelligence (AI). With AI, an IT Security team can model what the future Cyberthreat landscape could potentially look like in just a matter of minutes. As a result, this gives valuable time for them not only to fight off the threats that they are facing, but to also come up with solutions for the variants that will come out later. Practical AI for Cybersecurity explores the ways and methods as to how AI can be used in cybersecurity, with an emphasis upon its subcomponents of machine learning, computer vision, and neural networks. The book shows how AI can be used to help automate the routine and ordinary tasks that are encountered by both penetration testing and threat hunting teams. The result is that security professionals can spend more time finding and discovering unknown vulnerabilities and weaknesses that their systems are facing, as well as be able to come up with solid recommendations as to how the systems can be patched up quickly.

Advances in Modeling and Simulation in Textile Engineering

Author : Nicholus Tayari Akankwasa
Publisher : Woodhead Publishing
ISBN 13 : 0128229551
Total Pages : 468 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Modeling and Simulation in Textile Engineering by : Nicholus Tayari Akankwasa

Download or read book Advances in Modeling and Simulation in Textile Engineering written by Nicholus Tayari Akankwasa and published by Woodhead Publishing. This book was released on 2021-03-28 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Modeling and Simulation in Textile Engineering: New Concepts, Methods, and Applications explains the advanced principles and techniques that can be used to solve textile engineering problems using numerical modeling and simulation. The book draws on innovative research and industry practice to explain methods for the modeling of all of these processes, helping readers apply computational power to more areas of textile engineering. Experimental results are presented and linked closely to processes and methods of implementation. Diverse concepts such as heat transfer, fluid dynamics, three-dimensional motion, and multi-phase flow are addressed. Finally, tools, theoretical principles, and numerical models are extensively covered. Textile engineering involves complex processes which are not easily expressed numerically or simulated, such as fiber motion simulation, yarn to fiber formation, melt spinning technology, optimization of yarn production, textile machinery design and optimization, and modeling of textile/fabric reinforcements. Provides new approaches and techniques to simulate a wide range of textile processes from geometry to manufacturing Includes coverage of detailed mathematical methods for textiles, including neural networks, genetic algorithms, and the finite element method Addresses modeling techniques for many different phenomena, including heat transfer, fluid dynamics and multi-phase flow

Pattern Recognition by Self-organizing Neural Networks

Author : Gail A. Carpenter
Publisher : MIT Press
ISBN 13 : 9780262031769
Total Pages : 724 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Pattern Recognition by Self-organizing Neural Networks by : Gail A. Carpenter

Download or read book Pattern Recognition by Self-organizing Neural Networks written by Gail A. Carpenter and published by MIT Press. This book was released on 1991 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Dollar Monthly Magazine

Author :
Publisher :
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.A/5 ( download)

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Book Synopsis Dollar Monthly Magazine by :

Download or read book Dollar Monthly Magazine written by and published by . This book was released on 1856 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Ballou's Dollar Monthly Magazine

Author :
Publisher :
ISBN 13 :
Total Pages : 598 pages
Book Rating : 4.3/5 (2 download)

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Book Synopsis Ballou's Dollar Monthly Magazine by :

Download or read book Ballou's Dollar Monthly Magazine written by and published by . This book was released on 1856 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Principles of Artificial Neural Networks

Author : Daniel Graupe
Publisher : World Scientific
ISBN 13 : 9814522759
Total Pages : 500 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Principles of Artificial Neural Networks by : Daniel Graupe

Download or read book Principles of Artificial Neural Networks written by Daniel Graupe and published by World Scientific. This book was released on 2013-07-31 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining. Contents:Introduction and Role of Artificial Neural NetworksFundamentals of Biological Neural NetworksBasic Principles of ANNs and Their Early StructuresThe PerceptronThe MadalineBack PropagationHopfield NetworksCounter PropagationLarge Scale Memory Storage and Retrieval (LAMSTAR) NetworkAdaptive Resonance TheoryThe Cognitron and the NeocognitronStatistical TrainingRecurrent (Time Cycling) Back Propagation Networks Readership: Graduate and advanced senior students in artificial intelligence, pattern recognition & image analysis, neural networks, computational economics and finance, and biomedical engineering. Keywords:Neural Networks;Mathematical Derivations;Source Codes;Medical Applications;Data Mining;Cell-Shape Recognition;Micro-Trading