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Knowledge-Based Systems and Neural Networks Techniques and Applications by Ramesh Sharda

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Published by Elsevier Publishing Company .
Written in English

Book details:

Edition Notes

ContributionsW. Joseph Cochran (Editor)
The Physical Object
Number of Pages300
ID Numbers
Open LibraryOL7529594M
ISBN 100444016104
ISBN 109780444016102

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A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.5/5(1). Note: Citations are based on reference standards. However, formatting rules can vary widely between applications and fields of interest or study. The specific requirements or preferences of your reviewing publisher, classroom teacher, institution or organization should be applied. Trends in Applied Knowledge-Based Systems and Data Science 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE , Morioka, Japan, August , , Proceedings.   Artificial Neural Network and rule-based systems are types of knowledge-based system. So, can we consider ANFIS (Adaptive Neuro-Fuzzy Inference Systems) as .

The author's goal is to explain the principles of neural networks and fuzzy systems and to demonstrate how they can be applied to building knowledge-based systems for problem solving. Especially useful are the comparisons between different techniques (AI rule-based methods, fuzzy methods, connectionist methods, hybrid systems) used to solve the Cited by: The Volumes: Volume 1, Knowledge-Based Systems, addresses the basic question of how accumulated data and staff expertise from business operations can be abstracted into useful knowledge, and how such knowledge can be applied to ongoing operations. The wide range of areas represented includes product innovation and design, intelligent database.   Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI.   "Knowledge-Based Artificial Neural Network (KB-ANN) in Engineering: Associating Functional Architecture Modeling, Dimensional Analysis and Causal Graphs to Produce Optimized Topologies for KB-ANNs." Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering : Eric Coatanéa, Vadim Tsarkov, Siddhant Modi, Di Wu, G. Gary Wang, Hesam Jafarian.

In book: Knowledge for Sustainable Development- The Encyclopaedia of Life Support Systems Enviromental Systems Vol III (pp) Chapter: Knowledge . Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach Paolo Frasconi, Marco Gori, Giovanni Soda Pages   Knowledge-Based Systems book. Read reviews from world’s largest community for readers. A knowledge-based system (KBS) is a system that uses artificial in /5. Knowledge-Based Databases III. Preliminaries IV. Techniques for Tackling Uncertainties in Knowledge-Based Databases V. Conclusion References CONTENTS OF VOLUME 2 12 Geometric Knowledge-Based Systems Framework for Fingerprint Image Classification MICHAEL M. S. CHONG, ROBERT K. L. GAY, HAN NGEE TAN, AND JUN LIU I. Introduction File Size: KB.