Soft Computing Based Modeling in Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642004474
Total Pages : 210 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Soft Computing Based Modeling in Intelligent Systems by : Valentina Emilia Balas

Download or read book Soft Computing Based Modeling in Intelligent Systems written by Valentina Emilia Balas and published by Springer Science & Business Media. This book was released on 2009-03-23 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

Intelligent Systems

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Publisher : CRC Press
ISBN 13 : 1420051776
Total Pages : 456 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Systems by : Yung C. Shin

Download or read book Intelligent Systems written by Yung C. Shin and published by CRC Press. This book was released on 2017-12-19 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Soft Computing for Intelligent Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 9811610487
Total Pages : 653 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Soft Computing for Intelligent Systems by : Nikhil Marriwala

Download or read book Soft Computing for Intelligent Systems written by Nikhil Marriwala and published by Springer Nature. This book was released on 2021-06-22 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 354072432X
Total Pages : 855 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Analysis and Design of Intelligent Systems Using Soft Computing Techniques by : Patricia Melin

Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Artificial Intelligence and Soft Computing

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Publisher : CRC Press
ISBN 13 : 9781420049138
Total Pages : 834 pages
Book Rating : 4.0/5 (491 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Amit Konar

Download or read book Artificial Intelligence and Soft Computing written by Amit Konar and published by CRC Press. This book was released on 2018-10-08 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: With all the material available in the field of artificial intelligence (AI) and soft computing-texts, monographs, and journal articles-there remains a serious gap in the literature. Until now, there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts. Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear, insightful, and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition," the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search, symbolic logic, planning, and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research, including nonmonotonic and spatio-temporal reasoning, knowledge acquisition, and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content, clear presentation, and overall completeness. It provides a practical, detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines.

Soft Computing and Intelligent Systems Design

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Author :
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Soft Computing and Intelligent Systems Design by : Fakhreddine O. Karray

Download or read book Soft Computing and Intelligent Systems Design written by Fakhreddine O. Karray and published by Addison Wesley Longman. This book was released on 2004 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.

Soft Computing in Machine Learning

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Author :
Publisher : Springer
ISBN 13 : 331905533X
Total Pages : 117 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Soft Computing in Machine Learning by : Sang-Yong Rhee

Download or read book Soft Computing in Machine Learning written by Sang-Yong Rhee and published by Springer. This book was released on 2014-07-08 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

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Publisher : Springer Nature
ISBN 13 : 3030352498
Total Pages : 997 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 by : Rafik A. Aliev

Download or read book 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 written by Rafik A. Aliev and published by Springer Nature. This book was released on 2019-11-19 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

Soft Computing Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642339417
Total Pages : 714 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Soft Computing Applications by : Valentina Emilia Balas

Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer Science & Business Media. This book was released on 2012-10-31 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the 5thInternational Workshop on Soft Computing Applications (SOFA 2012). The book covers a broad spectrum of soft computing techniques, theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial, economic and medical problems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: · Soft Computing and Fusion Algorithms in Biometrics, · Fuzzy Theory, Control andApplications, · Modelling and Control Applications, · Steps towards Intelligent Circuits, · Knowledge-Based Technologies for Web Applications, Cloud Computing and Security Algorithms, · Computational Intelligence for Biomedical Applications, · Neural Networks and Applications, · Intelligent Systems for Image Processing, · Knowledge Management for Business Process and Enterprise Modelling. The combination of intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains.

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

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Publisher : Springer
ISBN 13 : 3642045146
Total Pages : 327 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control by : Oscar Castillo

Download or read book Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control written by Oscar Castillo and published by Springer. This book was released on 2009-10-13 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Innovations in Hybrid Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3540749721
Total Pages : 498 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Innovations in Hybrid Intelligent Systems by : Emilio Corchado

Download or read book Innovations in Hybrid Intelligent Systems written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2007-12-22 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

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Publisher : Springer
ISBN 13 : 354040046X
Total Pages : 376 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by : Leszek Rutkowski

Download or read book New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing written by Leszek Rutkowski and published by Springer. This book was released on 2013-03-09 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.

Soft Computing Systems

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 9781586032975
Total Pages : 1244 pages
Book Rating : 4.0/5 (329 download)

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Book Synopsis Soft Computing Systems by : Ajith Abraham

Download or read book Soft Computing Systems written by Ajith Abraham and published by John Wiley & Sons. This book was released on 2002 with total page 1244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Intelligent Systems cover a broad area of knowledge-based systems, computational intelligence, soft computing, and their hybrid combinations. Research and development in intelligent systems have enabled us to not only solve a range of problems which were previously considered too difficult but also have enabled a larger number of other problems to be tacked more effectively. This volume focuses on the recent research developments on intelligent systems in a hybrid environment and its applications in image processing, internet modelling and data mining. The different contributions presented in this volume were accepted for the Second International Conference on Hybrid Intelligent Systems (HIS'02).

Advances in Soft Computing

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Publisher : Springer
ISBN 13 : 3030028372
Total Pages : 367 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Advances in Soft Computing by : Félix Castro

Download or read book Advances in Soft Computing written by Félix Castro and published by Springer. This book was released on 2018-12-31 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.

Soft Computing in Artificial Intelligence

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Author :
Publisher : Springer
ISBN 13 : 3319055151
Total Pages : 157 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Soft Computing in Artificial Intelligence by : Young Im Cho

Download or read book Soft Computing in Artificial Intelligence written by Young Im Cho and published by Springer. This book was released on 2014-07-08 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neuro-fuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verification.

Intelligent Systems Design and Applications

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Author :
Publisher : Springer
ISBN 13 : 354044999X
Total Pages : 627 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer. This book was released on 2013-12-20 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of the Third International Conference on Intelligent Systems Design and Applications (ISDA 2003) held in Tulsa, USA, August 10-13. Current research in all areas of computational intelligence is presented including design of artificial neural networks, fuzzy systems, evolutionary algorithms, hybrid computing systems, intelligent agents, and their applications in science, technology, business and commerce. Main themes addressed by the conference are the architectures of intelligent systems, image, speech and signal processing, internet modeling, data mining, business and management applications, control and automation, software agents and knowledge management.

Hybrid Intelligent Systems

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Author :
Publisher : Springer
ISBN 13 : 3540374213
Total Pages : 433 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2007-07-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.