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The BP neural network algorithm has characteristics of slow convergence speed and local minimum value which could cause the loss of global optimal solution. In order to eliminate the shortcoming of BP neutral network algorithm, genetic algorithm is been put forward to optimize authority value and threshold value of BP nerve network. This paper establishes genetic neural network model. Study has been...
BP neural network has some shortcomings, such as low-precision solutions, slow search speed and easy convergence to the local minimum points. Ant colony algorithm(ACA) is a novel simulated evolutionary algorithm which accounts for rapid discovery of good solutions and easy to realize distributed computation. This paper establishes ant colony neural network model and applies in lithology recognition...
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