Principles of Artificial Neural Networks: 3rd Edition (Advanced Series in Circuits & Systems) (Advanced Series in Circuits and Systems)

Principles of Artificial Neural Networks: 3rd Edition (Advanced Series in Circuits & Systems) (Advanced Series in Circuits and Systems)

Daniel Graupe


synthetic neural networks are best suited for fixing difficulties which are complicated, ill-defined, hugely nonlinear, of many and diversified variables, and/or stochastic. Such difficulties are considerable in drugs, in finance, in defense and past.

This quantity covers the fundamental conception and structure of the foremost man made neural networks. Uniquely, it offers 18 whole case reports of purposes of neural networks in quite a few fields, starting from cell-shape type to micro-trading in finance and to constellation popularity all with their respective resource codes. those case stories reveal to the readers intimately how such case experiences are designed and finished and the way their particular effects are acquired.

The ebook is written for a one-semester graduate or senior-level undergraduate direction on synthetic neural networks.

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