Search results for: hybrid-neural-network-and-expert-systems

Hybrid Neural Network and Expert Systems

Author : Larry R. Medsker
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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.

Hybrid Intelligent Systems

Author : Larry R. Medsker
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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.

Hybrid Intelligent Engineering Systems

Author : L. C. Jain
File Size : 89.3 MB
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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.

Design and Development of Expert Systems and Neural Networks

Author : Larry Medsker
File Size : 26.45 MB
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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.

International Journal of Applied Expert Systems

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File Size : 20.90 MB
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Worldwide Intelligent Systems

Author : Jay Liebowitz
File Size : 77.58 MB
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PC AI

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File Size : 29.17 MB
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1997 IEEE International Conference on Tools with Artificial Intelligence

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File Size : 61.60 MB
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Aimed at researchers, professors, practitioners, students and other computing professionals, this work focuses in genetic algorithms, reasoning under uncertainty, natural language processing, knowledge based technology, and neural networks.

Computers and Artificial Intelligence

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Expert Systems Applications in Advanced Control

Author : E. J. Kompass
File Size : 40.99 MB
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Intelligent Hybrid Systems

Author : Suran Goonatilake
File Size : 89.91 MB
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This book provides a definition of hybrid systems, summarizes the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. The book is intended to equip researchers, applications developers, and managers with key reference and resource material for the successful development of hybrid systems.

IJCNN International Joint Conference on Neural Networks

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KDD 96

Author : Evangelos Simoudis
File Size : 31.76 MB
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Intelligent Engineering Systems Through Artificial Neural Networks

Author : Cihan H. Dagli
File Size : 65.28 MB
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Proceedings of the Artificial Neural Networks in Engineering Conference, November 12-15, 1995 St. Louis, Missouri. Heightened interest in engineering applications of neutral networks in recent years has led to intense research in the field. Volume 5 of this highly successful series boasts the contribution of researchers from 20 countries. They examine the theory and applications of artificial neural networks, fuzzy logic, and evolutionary programming. The volume provides referred versions of the latest developments in design and manufacturing engineering, including comprehensive coverage of: Artificial neural network architecture; Fuzzy networks and systems; Evolutionary programming; Pattern recognition; Adaptive control; Smart engineering system design.

Emerging Applications of Computer Vision

Author : David Schaefer
File Size : 60.53 MB
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Computational Intelligence Applications to Power Systems

Author : Yong-Hua Song
File Size : 45.26 MB
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This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems. Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.

Soft Computing in Case Based Reasoning

Author : Sankar Kumar Pal
File Size : 53.44 MB
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This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.

IEEE International Conference on Neural Networks

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1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993

Author :
File Size : 40.85 MB
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Proceedings

Author : IEEE Instrumentation and Measurement Society
File Size : 82.89 MB
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