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IJCNN
2000
IEEE
15 years 11 months ago
Simulation of a Digital Neuro-Chip for Spiking Neural Networks
: Conventional hardware platforms are far from reaching real-time simulation requirements of complex spiking neural networks (SNN). Therefore we designed an accelerator board with ...
Tim Schönauer, S. Atasoy, N. Mehrtash, Heinri...
157
Voted
MA
1999
Springer
87views Communications» more  MA 1999»
15 years 11 months ago
Communicating Neural Network Knowledge between Agents in a Simulated Aerial Reconnaissance System
In order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system...
Stephen Quirolgico, K. Canfield, Timothy W. Finin,...
JCP
2008
138views more  JCP 2008»
15 years 6 months ago
Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
In this paper, we suggest a neural network signal detector using radial basis function (RBF) network. We employ this RBF Neural detector to detect the presence or absence of a know...
Dilip Gopichand Khairnar, S. N. Merchant, Uday B. ...
JCC
2007
127views more  JCC 2007»
15 years 6 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...
NN
1998
Springer
15 years 6 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita