1029 search results - page 36 / 206 » Neural Networks and Complexity Theory |
85
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
ICTAI
2002
IEEE
15 years 2 months ago
2002
IEEE
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
ESANN
2007
14 years 11 months ago
2007
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...
IJNCR
2010
14 years 7 months ago
2010
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
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NGC
2010
Springer
14 years 4 months ago
2010
Springer
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...