5381 search results - page 183 / 1077 » Artificial neural networks |
175
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ICAISC
2010
Springer
15 years 11 months ago
2010
Springer
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
196
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ECAL
2001
Springer
15 years 11 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
176
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FLAIRS
2004
15 years 8 months ago
2004
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
155
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IJCNN
2006
IEEE
16 years 18 days ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
167
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NN
2007
Springer
15 years 6 months ago
2007
Springer
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural ne...