【摘要】 针对BP算法存在的收敛速度慢等问题提出改进方案,修改其相关参数并且提出如何选择合适的隐藏层节点个数。同时针对学习样本数据的有限性、BP算法易陷入局部最小值和容易出现过拟合等问题进行了研究,提出了采用多重交叉验证的再改进BP算法。仿真结果表明,交叉验证BP算法提高了网络学习的效率。更多还原

【Abstract】 BP algorithm exists against the slow convergence and other problem,in order to improve the program,the system amends its relevant parameters and presents the method to choose a suitable number of hidden layer nodes.Focus on learning of the limited nature of the data sample and BP algorithm easy to fall into the local minimum and prone to over-fit problems,the system presented by multiple cross-validation method.The simulation results show that cross-validation BP algorithm improved the efficiency of learning.更多还原