Neural Network Analysis, Architectures and Applications
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Analysis techniques
artificial neural computing
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cellular neural models
Cellular Neural Networks
Conjugate gradient
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image compression techniques
Information Maximization
neuro-fuzzy control systems
Novel Architectures
Optimization strategy
pulse-stream circuits
Quantization
recurrent neural network oil spill detection
Rule extraction
rule extraction methods
Product details
- ISBN 9780750304993
- Weight: 670g
- Dimensions: 156 x 234mm
- Publication Date: 01 Jan 1997
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Neural Network Analysis, Architectures and Applications discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. Divided into three parts, the book first lays the groundwork for understanding and simplifying networks. It then describes novel architectures and algorithms, including pulse-stream techniques, cellular neural networks, and multiversion neural computing. The book concludes by examining various neural network applications, such as neuron-fuzzy control systems and image compression. This final part of the book also provides a case study involving oil spill detection. This book is invaluable for students and practitioners who have a basic understanding of neural computing yet want to broaden and deepen their knowledge of the field.
