Feedforward backpropagation artificial neural networks on reconfigurable meshes

Authors
Citation
Jj. Jenq et Wn. Li, Feedforward backpropagation artificial neural networks on reconfigurable meshes, FUT GENER C, 14(5-6), 1998, pp. 313-319
Citations number
18
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Computer Science & Engineering
Journal title
FUTURE GENERATION COMPUTER SYSTEMS
ISSN journal
0167-739X → ACNP
Volume
14
Issue
5-6
Year of publication
1998
Pages
313 - 319
Database
ISI
SICI code
0167-739X(199812)14:5-6<313:FBANNO>2.0.ZU;2-7
Abstract
The artificial neural networks (ANNs) have been used successfully in applic ations such as pattern recognition, image processing, automation and contro l. Majority of today's applications use backpropagate feedforward ANN. In t his paper, two methods of P pattern L layer ANN learning on n x n RMESH hav e been presented. One required memory space of O(nL) but conceptually is si mpler to develop and the other uses pipelined approach which reduces the me mory requirement to O(L). Both of these algorithms take O(PL) time and are optimal for RMESH architecture. (C) 1998 Elsevier Science B.V. All rights r eserved.