Title: BP Neural Network and its applications based on improved PSO
Abstract: BP Neural Network is an effective method for prediction so far,but there are some self-determinations in its practical applications,so a new BP Neural Network based on improved Particle Swarm Optimization(PSO) is proposed.The capacity of solving nonlinear problems of this algorithm is enhanced effectively through adjusting inertia factor ω dynamically.At the same time,the convergence speed of this algorithm and the capacity of searching global extremum is increased.The improved BP Network model is built up,and the rainfall in a certain city is analyzed by this model and gradually regression method.Evidence shows this model has high accuracy and stability.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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Cited By Count: 5
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