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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
BackpropagationComputer scienceArtificial neural networkClass (philosophy)RpropArtificial intelligenceFeed forwardAlgorithmFeedforward neural networkSpeech recognitionTime delay neural networkTypes of artificial neural networksEngineering
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Publication Info
- Year
- 1989
- Type
- article
- Pages
- 417-423 vol.2
- Citations
- 58
- Access
- Closed
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Cite This
Gori,
Bengio,
De Mori
(1989).
BPS: a learning algorithm for capturing the dynamic nature of speech.
, 417-423 vol.2.
https://doi.org/10.1109/ijcnn.1989.118276
Identifiers
- DOI
- 10.1109/ijcnn.1989.118276