A structural genetic algorithm to optimize High Order Neural Network architecture
نویسندگان
چکیده
: A structural genetic algorithm is proposed to optimize the High Order Neural Network (HONN) architecture and the parameters of activation function. This work partitions the genes of chromosomes into control genes and parameter genes in a hierarchical form. Control genes binary encoded in the chromosome represent the activity of neurons, while real-valued parameter genes, represent the parameters of the sigmoid activation function. To verify the performance of our system, the HONN is used to approximate 2-D and 1-D functions.
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