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