A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation

Author： Rudolph G.L.   Martinez T.R.  

Publisher： Elsevier

ISSN： 0167-739X

Source： Future Generation Computer Systems, Vol.12, Iss.6, 1997-06, pp. : 547-564

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A new strategy for adaptively constructing multilayer feedforward neural networks

By Ma L.   Khorasani K.  

Neurocomputing, Vol. 51, Iss. unknown, 2003-04 ,pp. : 361-385

Elsevier

Access to resources Recommend Favorite

A Modified Backpropagation Training Algorithm for Feedforward Neural Networks*

By Kathirvalavakumar T.   Thangavel P.  

Neural Processing Letters, Vol. 23, Iss. 2, 2006-04 ,pp. : 111-119

Springer Publishing Company

Access to resources Recommend Favorite

Feedforward backpropagation artificial neural networks on reconfigurable meshes

By Jenq J.J.   Li W.  

Future Generation Computer Systems, Vol. 14, Iss. 5, 1998-12 ,pp. : 313-319

Elsevier

Access to resources Recommend Favorite

Multilayer Feedforward Neural Network Based on Multi-valued Neurons (MLMVN) and a Backpropagation Learning Algorithm

By Aizenberg Igor   Moraga Claudio  

Soft Computing, Vol. 11, Iss. 2, 2007-01 ,pp. : 169-183

Springer Publishing Company

Access to resources Recommend Favorite

Optimization of Feedforward Neural Networks

By Han J.   Moraga C.   Sinne S.  

Engineering Applications of Artificial Intelligence, Vol. 9, Iss. 2, 1996-04 ,pp. : 109-119

Elsevier

Access to resources Recommend Favorite