Artificial Higher Order Neural Networks for Computer Science and Engineering - Trends for Emerging Applications (Hardcover)


Artificial neural network research is one of the promising new directions for the next generation of computers and open box artificial Higher Order Neural Networks (HONNs) play an important role in this future. Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. Since HONNs are open box models, they can be easily used in information science, information technology, management, economics, and business. This book details the techniques, theory and applications essential to engaging and capitalizing on this developing technology.

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Product Description

Artificial neural network research is one of the promising new directions for the next generation of computers and open box artificial Higher Order Neural Networks (HONNs) play an important role in this future. Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. Since HONNs are open box models, they can be easily used in information science, information technology, management, economics, and business. This book details the techniques, theory and applications essential to engaging and capitalizing on this developing technology.

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Product Details

General

Imprint

Information Science Reference

Country of origin

United States

Release date

February 2010

Availability

Expected to ship within 10 - 15 working days

First published

March 2011

Dimensions

280 x 216 x 36mm (L x W x T)

Format

Hardcover

Pages

662

ISBN-13

978-1-61520-711-4

Barcode

9781615207114

Categories

LSN

1-61520-711-2



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