The Harmony Search Algorithm for Supervised Training of Neural Network

Language: English

Published by LAP LAMBERT Academic Publishing Apr 2019, 2019

6139472555 / 9786139472550

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This item is printed on demand - Print on Demand Titel. Neuware -Within the field of Artificial Intelligence, there are basically two paradigms for the supervised training of Feed-forward Artificial Neural Network (FFANN): the trajectory-driven paradigm, such as Backpropagation, and the evolutionary Stochastic Global Optimization paradigm (SGO), such as Genetic Algorithm. One of the relatively young SGO methods is the Harmony Search (HS) algorithm, which draws its inspiration not from biological or physical processes but from the improvisation process of Jazz musicians. HS was reported to be competitive alternative to other SGO methods. It has been used successfully in many applications mostly in engineering and industry. In this work the HS algorithm is adapted for the supervised training of FFANN and the performance is evaluated using different benchmarking problems. Two enhancements are introduced to achieve better convergence condition and better performance. A parallel implementation is also included along with performance analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 260 pp. Englisch.…

Seller Inventory # 9786139472550

Title
The Harmony Search Algorithm for Supervised Training of Neural Network
Author
Ali Kattan
Publisher
LAP LAMBERT Academic Publishing Apr 2019
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139472555
ISBN 13
9786139472550
Item weight
405 grams
Dimensions
220x150x17 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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