Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study
نویسندگان
چکیده
منابع مشابه
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study
The selection of weights of the new hidden units for sequential feed-forward neural networks (FNNs) usually involves a non-linear optimization problem that cannot be solved analytically in the general case. A suboptimal solution is searched heuristically. Most models found in the literature choose the weights in the first layer that correspond to each hidden unit so that its associated output v...
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A new learning algorithm, Learning by Choice of Internal Represetations (CHIR), was recently introduced. Whereas many algorithms reduce the learning process to minimizing a cost function over the weights, our method treats the internal representations as the fundamental entities to be determined. The algorithm applies a search procedure in the space of internal representations, and a cooperativ...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2007
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2006.05.022