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BC
2006
63views more  BC 2006»
15 years 4 months ago
Dynamic neural field with local inhibition
Abstract A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the Continuum Neural Field Theory (C...
Nicolas P. Rougier
AINA
2010
IEEE
15 years 1 months ago
Neural Network Trainer through Computer Networks
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
Nam Pham, Hao Yu, Bogdan M. Wilamowski
ISNN
2005
Springer
15 years 9 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
NN
2002
Springer
107views Neural Networks» more  NN 2002»
15 years 3 months ago
Equivariant nonstationary source separation
Most of source separation methods focus on stationary sources, so higher-order statistics is necessary for successful separation, unless sources are temporally correlated. For non...
Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
SENSYS
2006
ACM
15 years 10 months ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...