This book is in good condition only. The book has some shelfwear; some tearing to bottom corner of front cover near spine. Inside pages are clean. ; 382 pages. Seller Inventory # 02GW22-603-265

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Bibliographic Details

Title: Principles of Artificial Neural Networks (...

Publisher: World Scientific Publishing Company

Publication Date: 2013

Binding: Hardcover

Condition: Good

Edition: 3rd Edition

About this title

Synopsis:

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.

From the Back Cover:

This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.

The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks.

"About this title" may belong to another edition of this title.

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Mahler Books
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