Abstract
Particle swarm optimization is improved to overcome the shortcomings of original particle swarm optimization in this paper. An improved particle swarm optimization (IPSO) based on feedback neural network (FNN) is proposed to form an IPSONN algorithm. The method is employed to approach a nonlinear function. The numerical simulations indicate that the IPSONN can achieve high convergence precision and speed.
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