Neural Network Analysis, Architectures and Applications (eBook, PDF)

Redaktion: Browne, A.

• Format: PDF

Produktbeschreibung

This book discusses the main areas of neural networks, with each authoritative chapter covering the latest information from different perspectives. 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 mult

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 278
• Erscheinungstermin: 11. Dezember 2024
• Englisch
• ISBN-13: 9781040287101
• Artikelnr.: 72584211

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.