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The BP network uses the rule of local decline to slow convergence speed and easy to fall into local optimum. With the increase of BP input parameters lead to the dimension disaster. Taking into consideration the above problems, Using adaptive ant colony optimization algorithm optimized the training process of BP network referred to as AACOABP. The BP network and the BP network optimized by adaptive...
Using the counter propagation artificial neural network (CPANN) to diagnose the DGA fault, network structural parameters should be set, such as the training epochs, network size etc. When user to set, it would be affect by the artificial subjective factors. If we use the traversal search way, it would be the consumption of computing and time. So this article employed parallel genetic algorithm to...
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