【摘要】 为避免ＢＰ算法本身易陷入局部极小值的缺陷，本文将具有新组合激活函数的ＢＰ法与传统的ＢＰ方法（标准和带动量项）分别与统计最优化方法相结合组成混合算法，将他们分别应用于天气预报和贷款之中，并进行了仿真比较，在预报准确率和学习速度方面获得了比较满意的结果．本模拟程序在Ｔｕｒｂｏ－Ｐａｓｃａ／６．０环境下编制，在ＩＢＭＰＣ３８６和４８６机器上调试通过并运行．更多还原

【Abstract】 in order to avoid the disadvantage of BP algorithm, which is to trap into thelocal minimum, this paper provides Hybrid Algorithm consisted of BP with new combination activation function and statistics; then this new algorithm is applied to weather forecast and loan and the results are compared with Hybrid Algorithm based on backpropagation(standard and momentum-term) and statistics. Simulation results show that the accuracy and learning rate of prediction are both satisfactory. This program is written inTURBO-PASCAL 6. 0 and run on IBM PC/386 and 486.更多还原