Machine learning : neural networks, genetic algorithms, and fuzzy systems / Hojjat Adeli and Shih-Lin Hung.
By: Adeli, Hojjat.
Contributor(s): Hung, Shih-Lin.
Material type: BookPublisher: New York : Wiley, 1995Description: xii, 211 p. : ill. ; 24 cm.ISBN: 0471016330 .Subject(s): Machine learningDDC classification: 006.31Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
General Lending | MTU Bishopstown Library Store Item | 006.31 (Browse shelf(Opens below)) | 1 | Available | 00009551 |
Enhanced descriptions from Syndetics:
Artificial Intelligence/Neural Networks Cutting-edge approaches to designing machine learning technologies ... One of the most fascinating and promising developments to emerge in the field of artificial intelligence over the past decade has been machine learning. While automatic learning is still in its infancy, enormous strides have already been made toward developing expert computing systems with an impressive degree of learning capability. This book offers in-depth coverage of the latest developments in machine learning algorithms using object-oriented programming, neural nets, genetic algorithms, and fuzzy systems. While they concentrate most heavily on neural nets, the authors describe a number of ingenious new ways of integrating neural learning models with other, fundamentally different problem-solving paradigms to create powerful hybrids that can radically improve the learning and decision-making skills of computing systems. The only book to apply neural nets, genetic algorithms, and fuzzy systems to the field of machine learning Includes many specific algorithms Presents applications in the domains of image recognition and engineering design
Includes bibliographical references (p. 203-208) and index.
Table of contents provided by Syndetics
- 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