135 search results - page 11 / 27 » Solving the Ill-Conditioning in Neural Network Learning |
104
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ISCAS
1994
IEEE
15 years 3 months ago
1994
IEEE
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...
111
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IAT
2008
IEEE
14 years 12 months ago
2008
IEEE
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
107
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ICANN
2005
Springer
15 years 5 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
104
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IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
We have fabricated a PCA (Principal Component Analysis) learning network in a FPGA (Field Programmable Gate Array) by using an asynchronous PDM (Pulse Density Modulation) digital ...