Hybrid Neural Networks: From Application Point Of View: Improved Performance Through Hybrid ANNs

Khalid Awan, Zainab, Khan, Aamir, Iftikhar, Anam

ISBN 10: 3659145114 / ISBN 13: 9783659145117

Published by LAP LAMBERT Academic Publishing, 2012

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Bibliographic Details

• Title: Hybrid Neural Networks: From Application Point Of View: Improved Performance Through Hybrid ANNs
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659145114
• ISBN 13: 9783659145117
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

The most frequently encountered decision making task for the humans is Classification. In finance, science and business, analysts are often faced with the task of classifying items based on historical or measured data. For Example Stock market analysts may wish to categorize a group of stocks as buy, sell, or hold. Neural networks are typically used for classification. Classification problem involves an input that the classifier has to identify to which output class the input most likely belongs. For classification problems, the network training is a supervised one in that the desired or target response of the network for each input pattern is always known a priori.

About the Author

ZAINAB KHALID AWAN, AAMIR KHAN AND ANAM IFTIKHAR are associated with CIIT Wah, Pakistan and has common research interests in the fields of Machine learning and Pattern Recognition.