1701 search results - page 50 / 341 » Learning Mappings with Neural Network |
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
110
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
113
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NN
2000
Springer
15 years 1 months ago
2000
Springer
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
124
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CDES
2006
15 years 3 months ago
2006
A neural network approach is presented for modeling and characterization of on-chip copper spiral inductors. The approach involves the creation of neural network models to map 3D ...
105
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SOCO
2002
Springer
15 years 1 months ago
2002
Springer
The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalized multivalued exclusive-OR (XOR) operation. The proposed neural archit...