DocumentCode :
3229537
Title :
BPS: a learning algorithm for capturing the dynamic nature of speech
Author :
Gori, Marco ; Bengio, Yoshua ; Mori, Renato De
Author_Institution :
Dept. of Syst. & Inf., Florence Univ., Italy
fYear :
1989
fDate :
0-0 1989
Firstpage :
417
Abstract :
A novel backpropagation learning algorithm for a particular class of dynamic neural networks in which some units have a local feedback is proposed. Hence these networks can be trained to respond to sequences of input patterns. This algorithm has the same order of space and time requirements as backpropagation applied to feedforward networks. The authors present experimental results and comparisons with a speech recognition problem.<>
Keywords :
learning systems; neural nets; speech recognition; backpropagation learning algorithm; dynamic nature; dynamic neural networks; input patterns; learning algorithm; local feedback; space; speech; speech recognition; time; Learning systems; Neural networks; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118276
Filename :
118276
Link To Document :
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