210 search results - page 10 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
IWANN
2001
Springer
13 years 12 months ago
2001
Springer
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Segmentation of speech signals is a crucial task in many types of speech analysis. We present a novel approach at segmentation on a syllable level, using a Bidirectional Long-Shor...
ROBOCUP
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
IJON
2007
13 years 7 months ago
2007
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
IEEEIAS
2009
IEEE
14 years 2 months ago
2009
IEEE
: In this paper, a hash function construction method based on cell neural network (CNN) with hyper-chaos characteristics is proposed. The chaos sequence is generated by iterating C...