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» Sensor Errors Prediction Using Neural Networks
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91
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IROS
2008
IEEE
161views Robotics» more  IROS 2008»
15 years 4 months ago
Segmenting acoustic signal with articulatory movement using Recurrent Neural Network for phoneme acquisition
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
Hisashi Kanda, Tetsuya Ogata, Kazunori Komatani, H...
76
Voted
IJON
2006
65views more  IJON 2006»
14 years 9 months ago
On-line estimation of the final prediction error via recursive least-squares method
This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least squa...
John Sum, Kevin Ho
ISNN
2004
Springer
15 years 3 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
98
Voted
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
15 years 4 months ago
Phoneme acquisition model based on vowel imitation using Recurrent Neural Network
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
NN
2000
Springer
192views Neural Networks» more  NN 2000»
14 years 9 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...