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BP neural network is an important and efficient method in machine learning. But there are some drawbacks lying in its local minimum and slow convergence speed. To solve these problems and enhance the performance of BP network, an optimized BP neural network by genetic algorithm is proposed in this paper. Firstly, we design a fitness function based on genetic algorithm for the view of obtaining the...
Researches on computer application to musical creation are actively performed in artificial intelligence. In this paper, we propose a hybrid method that adopts BP neural network for evaluation of emotions in music and genetic algorithm as an appropriate method for nominating creativity. Compared to other GAs used in this field, emotional element is used and combined with some musical rules as fitness...
By combining GA (Genetic Algorithm), which has the advantage of global optimization, and RBF , which has the advantage of local optimization, the calculation accuracy and convergence rate of the traditional BP neural network are improved. So the hybrid algorithm based on genetic algorithm and BP algorithm, not only retains the original merits of the neural network, but also overcomes these shortcomings,...
Aimed at minimizing the centre distance of reducer in lift mechanism and being satisfied with the conditions of load-bearing capacity and distribution of transmission ratio, the mathematical model in fuzzy design optimization was set up which was to considering the random character of the value of design parameters. Firstly, the number of teeth of the minor gear in the system, its normal module, and...
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