Based on conventional BP algorithm, a modified BP learning algorithm is proposed.
在传统的BP算法基础上，提出了一种改进的BP学习算法。
The MATLAB simulation shows the improved weighted algorithm is of more efficien than conventional BP algorithm.
结果表明改进后的BP算法减少了迭代次数，提高了寻优的收敛速度。
The algorithm solved the problems of the conventional BP algorithm such as converging slowly and falling into the local minimum point easily.
该算法克服了传统BP算法的收敛速度慢，易陷入局部最小点的问题。
People put forward radial basis function networks considering the conventional BP algorithm problems of slow convergence speed and easily getting into local dinky value.
对于传统BP算法存在的收敛速度慢和易陷入局部极小值问题，人们提出了径向基函数网络。
This paper discussed two basic problems of conventional BP algorithm. A improved BP algorithm based on step optimum and conjugate gradient was put forword in this paper.
本文针对传统BP算法存在的两个常见问题进行了讨论，提出了基于步长优化和共轭梯度法的改进BP算法。
An improved neural network based on L-M algorithm has been applied to fault diagnosis expert system against to the slow convergence rate of conventional BP neural network.
针对传统BP神经网络训练中收敛速度较慢的缺点，提出一种基于L - M算法的神经网络应用于机械设备故障诊断的专家系统。
An improved neural network based on L-M algorithm has been applied to fault diagnosis expert system against to the slow convergence rate of conventional BP neural network.
针对传统BP神经网络训练中收敛速度较慢的缺点，提出一种基于L - M算法的神经网络应用于机械设备故障诊断的专家系统。
应用推荐