Journal ArticleDOI
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]
TLDR
Interestingly, neuro fuzzy and soft computing a computational approach to learning and machine intelligence that you really wait for now is coming.Abstract:
Interestingly, neuro fuzzy and soft computing a computational approach to learning and machine intelligence that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.read more
Citations
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Journal ArticleDOI
Adaptive Particle Swarm Optimization
TL;DR: An adaptive particle swarm optimization that features better search efficiency than classical particle Swarm optimization (PSO) is presented and can perform a global search over the entire search space with faster convergence speed.
Book
Fuzzy Modeling for Control
TL;DR: Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view and focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements, and on the design of nonlinear controllers based on fuzzy models.
Journal ArticleDOI
Review: Intrusion detection by machine learning: A review
TL;DR: This chapter reviews 55 related studies in the period between 2000 and 2007 focusing on developing single, hybrid, and ensemble classifiers and discusses current achievements and limitations in developing intrusion detection systems by machine learning.
Book ChapterDOI
Computational Intelligence: An Introduction
TL;DR: The general public becomes rapidly jaded with such ‘bold predictions’ that fail to live up to their original hype, and which ultimately render the zealots’ promises as counter-productive.
A comparison of performance of several artificial intelligence
TL;DR: Lin et al. as discussed by the authors developed a hydrological forecasting model based on past records, which is crucial to developing a water forecasting model. But the model is not suitable for forecasting the future.
References
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Journal ArticleDOI
Fuzzy logic = computing with words
TL;DR: The point of this note is that fuzzy logic plays a pivotal role in CW and vice-versa and, as an approximation, fuzzy logic may be equated to CW.
Journal ArticleDOI
Fuzzy logic systems for engineering: a tutorial
TL;DR: After synthesizing a FLS, it is demonstrated that it can be expressed mathematically as a linear combination of fuzzy basis functions, and is a nonlinear universal function approximator, a property that it shares with feedforward neural networks.
Proceedings ArticleDOI
Learning fuzzy rules through neural networks
TL;DR: A method for learning fuzzy rules through training a neural network with the backpropagation algorithm and a function which approximates the real goal function between the independent input variables and the dependent output variables can be derived.