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NPL
2000
91views more  NPL 2000»
14 years 11 months ago
A Novel Self-Creating Neural Network for Learning Vector Quantization
This paper presents a novel self-creating neural network scheme which employs two resource counters to record network learning activity. The proposed scheme not only achieves the b...
Jung-Hua Wang, Chung-Yun Peng
ICANN
1997
Springer
15 years 4 months ago
Correlation Coding in Stochastic Neural Networks
Abstract. Stimulus4ependent changes have been observed in the correlations between the spike trains of simultaneously-recorded pairs of neurons from the auditory cortex of marmoset...
Raphael Ritz, Terrence J. Sejnowski
ISNN
2007
Springer
15 years 6 months ago
Integrated Analytic Framework for Neural Network Construction
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen...
FLAIRS
2004
15 years 1 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li
AAAI
2004
15 years 1 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay