1029 search results - page 53 / 206 » Neural Networks and Complexity Theory |
COMPLEX
2009
Springer
15 years 1 months ago
2009
Springer
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex eve...
ESOA
2006
15 years 1 months ago
2006
Holonic Multi-Agent Systems (HMAS) are a convenient way to engineer complex and open systems. In such systems, agents have to be able to self-organize to satisfy their goals. Our w...
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ICANN
2011
Springer
14 years 1 months ago
2011
Springer
The definition of appropriate kernel functions is crucial for the performance of a kernel method. In many of the state-of-the-art kernels for trees, matching substructures are con...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...