869 search results - page 98 / 174 » An Effective Learning Method for Max-Min Neural Networks |
120
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
127
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FOCI
2007
IEEE
15 years 10 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
141
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
131
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NN
2008
Springer
15 years 2 months ago
2008
Springer
- This paper describes mechanisms used by humans to stand on moving platforms, such as a bus or ship, and to combine body orientation and motion information from multiple sensors i...
150
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...