Radial basis function network for speech pattern classification
TL;DR: A neural network model incorporating radial basis functions is used in a speech-pattern classification problem and is compared with a back-propagation neural network models and with a vector-quantised hidden Markov model.
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Abstract: A neural network model incorporating radial basis functions is used in a speech-pattern classification problem. The method is compared with a back-propagation neural network model and with a vector-quantised hidden Markov model of the same problem. Training times are over an order of magnitude faster, with similar classification results.
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Citations
•Dissertation
Constructive algorithms for structure learning in feedforward neural networks
Tin Yau Kwok
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References
Learning internal representations by error propagation
David E. Rumelhart,Geoffrey E. Hinton,Ronald J. Williams +2 more
- 01 Jan 1988
TL;DR: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion.
•Book
Learning internal representations by error propagation
David E. Rumelhart,Geoffrey E. Hinton,Ronald J. Williams +2 more
- 03 Jan 1986
TL;DR: In this paper, the problem of the generalized delta rule is discussed and the Generalized Delta Rule is applied to the simulation results of simulation results in terms of the generalized delta rule.
16K
•Journal Article
Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
David S. Broomhead,David Lowe +1 more
TL;DR: The relationship between 'learning' in adaptive layered networks and the fitting of data with high dimensional surfaces is discussed, leading naturally to a picture of 'generalization in terms of interpolation between known data points and suggests a rational approach to the theory of such networks.
Boltzmann machines for speech recognition
TL;DR: Use is made of the implications of recent work into associative memory, and the modelling of neural arrays, to suggest a good configuration of Boltzmann machines for this sort of pattern recognition.
82