Research on The Network Optimization Method Based on Improved Particle Swarm Algorithm

Tian Jifeng
March 2013
Journal of Convergence Information Technology;Mar2013, Vol. 8 Issue 6, p393
Academic Journal
The paper studied the BP neural network optimization issue of particle swarm algorithm according to psychology and cognitive science theories. We apply the improved particle swarm algorithm into BP neural network learning and training and compare the learning capacity of it with that of traditional BP network. According to the result, application of improved particle swarm optimization algorithm into BP neural network optimization will not only speed up the convergence at the optimum solution but also dramatically increases the result accuracy.


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