Machine learning : neural networks, genetic algorithms, and fuzzy systems
著者
書誌事項
Machine learning : neural networks, genetic algorithms, and fuzzy systems
Wiley, c1995
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注記
Includes bibliographical references (p. 203-208) and index
内容説明・目次
内容説明
Covering the development of machine learning algorithms, this text offers descriptions of object oriented programming, neural networks, genetic algorithms and fuzzy set theory. Examples are used from the fields of engineering design and image recognition.
目次
- Perceptron Learning with a Hidden Layer
- An Object-Oriented Backpropagation Learning Model
- Concurrent Backpropagation Learning Algorithms
- An Adaptive Conjugate Gradient Learning Algorithm for Efficient Training of Neural Networks
- A Concurrent Adaptive Conjugate Gradient Learning Algorithm on MIMD Shared Memory Machines
- A Concurrent Genetic/Neural Network Learning Algorithm for MIMD Shared Memory Machines
- A Hybrid Learning Algorithm for Distributed Memory Multicomputers
- A Fuzzy Neural Network Learning Model
- Appendices
- References
- Index.
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