Artificial neural networks /
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Main Library Stacks | Reference | 006.3 SCH (Browse shelf(Opens below)) | Checked out | 09/05/2024 | 006532 |
Includes index
Overview: artificial neural networks and neural computing --
Mathematical fundamentals for ANN study --
Elementary ANN building blocks --
Single-unit mappings and the perceptron --
Introduction to neural mappings and pattern associator applications --
Feedforward networks and training: part 1 --
Feedforward networks, part 2: extensions and advanced topics --
Recurrent networks --
Competitive and self-organizing networks --
Radial Basis Function (RBF) networks and Time Delay Neural Networks (TDNNs) --
Fuzzy neural networks including fuzzy sets and logic and ANN implementations --
ANN hardware and implementation concerns
Artificial Neural Networks brings together an identifiable core of ideas, techniques, and applications that characterize this emerging field. The text is intended for beginning graduate / advanced undergraduate students as well as practicing engineers and scientists.
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