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提出了一种改进的广义自组织神经网络非线性系统建模新算法 ,并分析了算法的收敛性 ,经证明知 ,当选取适当的参数和初值时 ,该算法是收敛的 .改进后的算法使收敛速度大大提高 ,经过仿真实验说明了改进算法是有效的
This paper presents a new algorithm for modeling nonlinear systems of generalized self-organizing neural networks, and analyzes the convergence of the algorithm. It is proved that the algorithm converges when the appropriate parameters and initial values are selected. The convergence speed of the algorithm is greatly improved. Simulation results show that the improved algorithm is effective