论文信息 - Intelligent Optimization Algorithm for Nonlinear Function

Intelligent Optimization Algorithm for Nonlinear Function

Original particle swarm optimization (OPSO) algorithm was modified in the paper, and a self-adaptive PSO (SPSO) was proposed. In this algorithm, SPSO combines Elman neural network (ENN) and forms SPSO-ENN hybrid algorithm. Compared with ENN algorithm, the experiment results show that SPSO-ENN has less adjustable parameters, faster convergence speed and higher precision in the nonlinear function identification.

Jian Guo | Jing Gong

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