Fuzzy Logic and Expert Systems Applications / Edition 1
by Cornelius T. Leondes
Inspired by the structure of the human brain, artificial neural networks have found many applications due to their ability to solve cumbersome or intractable problems by learning directly from data. Neural networks can adapt to new environments by learning, and deal with information that is noisy, inconsistent, vague, or probabilistic. This volume of Neural Network
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Inspired by the structure of the human brain, artificial neural networks have found many applications due to their ability to solve cumbersome or intractable problems by learning directly from data. Neural networks can adapt to new environments by learning, and deal with information that is noisy, inconsistent, vague, or probabilistic. This volume of Neural Network Systems Techniques and Applications is devoted to the integration of Fuzzy Logic and Expert Systems Applications.
Product Details
- ISBN-13:
- 9780124438668
- Publisher:
- Elsevier Science
- Publication date:
- 12/01/1997
- Series:
- Neural Network Systems Techniques and Applications Series, #6
- Pages:
- 440
- Product dimensions:
- 1.13(w) x 6.00(h) x 9.00(d)
Table of Contents
Ishibuchi, Fuzzy Neural Networks and their Applications. Chak, Feng, and Palaniswami, Implementation of Fuzzy Systems. Aiello, Burattini, and Tamburrini, Neural Networks and Rule-Based Systems. Fletcher andHinde, Construction of Rule Based Intelligent Systems. Pal and Mitra, Expert Systems in Soft Computing Paradigm. Watanabe and Tzafestas, Mean-Value-Based Functional Reasoning Techniques in the Development of Fuzzy-Neural Network Control Systems. Chen and Teng, Fuzzy Neural Network Systems in Model Reference Control Systems. Juditsky, Zhang, Delyon, Glorennec, and Benveniste, Wavelets in Identification.
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