In this paper, the characteristic and performance of various fast BP algorithms are generalized and contrasted through study on simulation of nonlinear function approximation experiment.
对几种快速BP算法的特点及性能作了归纳和对比,并对一个非线性函数逼近实例进行了仿真研究。
Based on adaptive LMS algorithms, the on line BP algorithm with fast convergence speed is presented.
在自适应LMS算法基础上,提出了在线BP训练算法、收敛速度快。
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