Abstract
In the paper some aspects of theoretical foundations of a neural agent adaptivity is discussed. A method of regularization of a gradient system which models a training process of a layer artificial neural network is considered. The possibilities of applying the result to agent systems are discussed as well.
Cite
CITATION STYLE
APA
Bielecki, A. (2002). Agent’s adaptivity – Some aspects of theoretical foundations of a neural agent training process. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2296, p. 47). Springer Verlag. https://doi.org/10.1007/3-540-45941-3_5
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