Method and system for adaptively setting deep belief network (DBN) parameter
A deep belief network and fitness function technology, applied in the field of data processing, can solve problems such as difficulty in obtaining network parameters, adaptive setting parameters, and inability to obtain recognition effects, so as to achieve the effect of improving accuracy and good recognition results
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[0048] The core of the present invention is to provide a method and system for adaptively setting parameters of a deep confidence network based on a genetic algorithm. The parameters of the deep confidence network are adaptively adjusted through the genetic algorithm to obtain a better recognition effect.
[0049] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0050] The following explains...
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