论文信息 - Neural networks and radial basis functions in classifying static speech patterns - 字舞流文

Neural networks and radial basis functions in classifying static speech patterns

Mahesan Niranjan | Frank Fallside | M. Niranjan | F. Fallside

[1] Richard W. Prager,et al. The modified Kanerva model for automatic speech recognition , 1989 .

[2] M. Niranjan,et al. Generalising the nodes of the error propagation network , 1989, International 1989 Joint Conference on Neural Networks.

[3] Bernard Widrow,et al. Adaptive switching circuits , 1988 .

[4] Ian Dennis Longstaff,et al. A pattern recognition approach to understanding the multi-layer perception , 1987, Pattern Recognit. Lett..

[5] M. J. D. Powell,et al. Radial basis functions for multivariable interpolation: a review , 1987 .

[6] Mahesan Niranjan,et al. On modelling the dynamics of speech patterns , 1987, ECST.

[7] C. Micchelli. Interpolation of scattered data: Distance matrices and conditionally positive definite functions , 1986 .

[8] Pentti Kanerva,et al. Self-propagating search: a unified theory of memory (address decoding, cerebellum) , 1984 .

[9] Bishnu S. Atal,et al. Efficient coding of LPC parameters by temporal decomposition , 1983, ICASSP.

[10] R. L. Hardy. Multiquadric equations of topography and other irregular surfaces , 1971 .