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BP algorithm is the typical supervised learning algorithm, so neural network cannot be trained on-line by it. For this reason, a new algorithm(TD-DBP), which was composed of temporal difference (TD) method and dynamic BP algorithm(DBP), was proposed to overcome the restriction. TDDBP algorithm can make Elman network train on-line incrementally. The gradient descent momentum and adaptive learning rate...
BP algorithm is the typical supervised learning algorithm, so neural network cannot be trained on-line by it. For this reason, a new algorithm (TD-DBP), which was composed of temporal difference (TD) method and dynamic BP algorithm (DBP), was proposed to overcome the restriction. TD-DBP algorithm can make Elman network train on-line incrementally. The gradient descent momentum and adaptive learning...
This paper constructs a soft-sensing model by genetic algorithm for Al-product auto-product-line. The paper deduces the optimum work point and input, and realizes static control and optimum of energy using inner variable and feed-back control. At last, the author illuminates that genetic algorithm has a great advantage comparing with the other traditional ways by application of genetic algorithm in...
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