Hybrid Neural Network And Expert Systems

Author : Larry R. Medsker
Publisher : Springer Science & Business Media
Page : 241 pages
File Size : 47,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461527268

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Hybrid Neural Network and Expert Systems by Larry R. Medsker Pdf

Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.

Author : Larry R. Medsker
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 49,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461523536

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Hybrid Intelligent Systems by Larry R. Medsker Pdf

Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Author : Stefan Wermter,Ron Sun
Publisher : Springer
Page : 408 pages
File Size : 49,7 Mb
Release : 2006-12-30
Category : Medical
ISBN : 9783540464174

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Hybrid Neural Systems by Stefan Wermter,Ron Sun Pdf

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems. The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

Author : Stephen I. Gallant
Publisher : MIT Press
Page : 392 pages
File Size : 53,5 Mb
Release : 1993
Category : Computers
ISBN : 0262071452

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Neural Network Learning and Expert Systems by Stephen I. Gallant Pdf

presents a unified and in-depth development of neural network learning algorithms and neural network expert systems

Author : Abraham Kandel,Gideon Langholz
Publisher : CRC Press
Page : 448 pages
File Size : 55,7 Mb
Release : 2020-09-10
Category : Computers
ISBN : 9781000102949

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Hybrid Architectures for Intelligent Systems by Abraham Kandel,Gideon Langholz Pdf

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

Author : Nikolopoulos
Publisher : CRC Press
Page : 353 pages
File Size : 43,7 Mb
Release : 1997-01-10
Category : Technology & Engineering
ISBN : 9781000064971

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Expert Systems by Nikolopoulos Pdf

Offering an introduction to the field of expert/knowledge based systems, this text covers current and emerging trends as well as future research areas. It considers both the system shell and programming environment approaches to expert system development.

Author : L. R. Medsker,Larry Medsker,Jay Liebowitz
Publisher : Prentice Hall
Page : 296 pages
File Size : 41,7 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015029084251

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Design and Development of Expert Systems and Neural Networks by L. R. Medsker,Larry Medsker,Jay Liebowitz Pdf

This book gives readers and practitioners the tools they need to develop appropriate applications and systems. It also explores managing and institutionalizing expert system development and usage.

Author : Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko
Publisher : Springer Nature
Page : 527 pages
File Size : 53,8 Mb
Release : 2020-09-03
Category : Technology & Engineering
ISBN : 9783030484538

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Artificial Intelligence Systems Based on Hybrid Neural Networks by Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko Pdf

This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Author : Nikola K. Kasabov
Publisher : Marcel Alencar
Page : 581 pages
File Size : 52,5 Mb
Release : 1996
Category : Artificial intelligence
ISBN : 9780262112123

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Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by Nikola K. Kasabov Pdf

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Author : Adedeji Bodunde Badiru,John Cheung
Publisher : John Wiley & Sons
Page : 313 pages
File Size : 44,6 Mb
Release : 2002-10-08
Category : Computers
ISBN : 9780471275343

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Fuzzy Engineering Expert Systems with Neural Network Applications by Adedeji Bodunde Badiru,John Cheung Pdf

Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.

Author : L. C. Jain,R. K. Jain
Publisher : World Scientific
Page : 204 pages
File Size : 46,6 Mb
Release : 1997
Category : Technology & Engineering
ISBN : 9810228899

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Hybrid Intelligent Engineering Systems by L. C. Jain,R. K. Jain Pdf

This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering. It shows that these new techniques enhance the capabilities of one another. A number of hybrid systems for solving engineering problems are presented.

Author : Emilio Corchado,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 785 pages
File Size : 45,8 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540876557

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Hybrid Artificial Intelligence Systems by Emilio Corchado,Ajith Abraham Pdf

This volume constitutes the proceedings of the Third International Workshop on Hybrid Artificial Intelligence Systems, HAIS 2008, held in Burgos, Spain, during September 24-26, 2008. The 93 papers presented, together with 4 invited talks, were carefully reviewed and selected from 280 submissions. The topics covered are agents and multi-agent systems; evolutionary computation; connectionist models; optimization sysetms; fuzzy logic systems; classification and classifiers; cluster analysis; video and image analysis; learning systems, algorithms and applications; hybrid systems based on negotiation and social network modelling; real world applications of HAIS under uncertainty; hybrid intelligent systems for multi-robot and multi-agent systems; applications of hybrid artificial intelligence in bioinformatics; and novel approaches to genetic fuzzy systems.

Author : Da Ruan
Publisher : Springer Science & Business Media
Page : 364 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461561910

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Intelligent Hybrid Systems by Da Ruan Pdf

Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 120 pages
File Size : 47,7 Mb
Release : 2023-06-20
Category : Computers
ISBN : PKEY:6610000468591

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Hybrid Neural Networks by Fouad Sabry Pdf

What Is Hybrid Neural Networks The phrase "hybrid neural network" can refer to either biological neural networks that interact with artificial neuronal models or artificial neural networks that also have a symbolic component. Both of these interpretations are possible. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Hybrid neural network Chapter 2: Connectionism Chapter 3: Computational neuroscience Chapter 4: Symbolic artificial intelligence Chapter 5: Neuromorphic engineering Chapter 6: Recurrent neural network Chapter 7: Neural network Chapter 8: Neuro-fuzzy Chapter 9: Spiking neural network Chapter 10: Hierarchical temporal memory (II) Answering the public top questions about hybrid neural networks. (III) Real world examples for the usage of hybrid neural networks in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid neural networks. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

Author : Stephen I. Gallant
Publisher : Mit Press
Page : 384 pages
File Size : 43,7 Mb
Release : 1993-03
Category : Computers
ISBN : 0262527898

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Neural Network Learning and Expert Systems by Stephen I. Gallant Pdf