DocumentCode
2969085
Title
Multi-modular neural network-hybrid architectures: a review
Author
Soulie, Françoise Fogelman
Author_Institution
Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France
Volume
3
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
2231
Abstract
A formalism to train multi-modular architectures (MMAs) is given. Examples of MMAs for various applications in image and speech processing are shown, which illustrate the benefits of using MMAs.
Keywords
face recognition; image recognition; learning (artificial intelligence); neural net architecture; neural nets; optical character recognition; parallel architectures; speech recognition; face recognition; image recognition; modular learning system; multi-modular architectures; multi-modular neural network; optical character recognition; speaker identification; speech recognition; Computer architecture; Cost function; Insulation; Lagrangian functions; Neural networks; Optical character recognition software; Optical computing; Speech processing; Speech recognition; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714170
Filename
714170
Link To Document