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Neuro-fuzzy - In the field of artificial intelligence, neuro-fuzzy refers to hybrids of artificial neural networks and fuzzy logic. Although generally assumed to be the realization of a fuzzy system through connectionist networks, this term is also used to describe some other configurations including:
Fuzzy cellular neural networks - Fuzzy cellular neural networks (FCNN) are special kinds of cellular neural networks. Each cell in an FCNN containing fuzzy operating abilities, yet, the entire network is governed by cellular computing laws.
Intelligent control - All control techniques that use various soft computing approaches like "neural networks", "Bayesian probability", "fuzzy logic", "machine learning", "evolutionary computation and genetic algorithms" can be put into the class of intelligent control.
Fuzzy logic - Fuzzy logic is derived from Fuzzy set theory dealing with reasoning that is approximate rather then precisely deduced from classical predicate logic. It can be thought as the application side of Fuzzy Set Theory dealing with well thought out real world expert values ...
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Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Control Dynamical Nonlinear System - Control Dynamical Nonlinear System Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximation Techniques by Jeffrey T. Spooner, A powerful, yet easy-to-use design methodology for the control ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Principle of Neural Science - Principle of Neural Science Principles of Neural Science Principles of Neural Science Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky, An interdisciplinary ...
Free Domain Search - Free Domain Search Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang, Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft ...
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