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» VLSI Implementation of Neural Networks
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NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 7 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...
NN
1998
Springer
13 years 7 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
ISNN
2010
Springer
14 years 15 days ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
CEC
2005
IEEE
13 years 9 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
JCC
2007
127views more  JCC 2007»
13 years 7 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...