Neural Network Analysis, Architectures and Applications

Herausgeber: Browne, A.

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 278
• Erscheinungstermin: 1. Januar 1997
• Englisch
• Abmessung: 240mm x 159mm x 21mm
• Gewicht: 581g
• ISBN-13: 9780750304993
• ISBN-10: 0750304995
• Artikelnr.: 22459111

Inhaltsangabe

Part 1 Understanding and simplifying networks: Analyzing the internal
representations of trained neural networks. Information maximization to
simplify internal representation. Rule extraction from trained artificial
neural networks. Part 2 Novel architectures and algorithms: Pulse-stream
techniques and circuits for implementing neural networks. Cellular neural
networks. Efficient training of feed-forward neural networks. Exploiting
local optima in multiversion neural computing. Part 3 Applications: Neural
and neuro-fuzzy control systems. Image compression using neural networks.
Oil spill detection: a case study using recurrent artificial neural
networks.