Method:The main effective factors could be found by weights of the BP Nerual Network, which has one hidden layer, and the correlation of input and output.
方法:拟合输入与输出之间含有一个隐层的BP神经网络,利用各层输入与输出间的相关程度与网络权值确定各因素影响力大小。
Methods the main effective factors could be found by weights of the BP Nerual Network, which has one hidden layer, and the correlation of inputs and output.
方法拟合输入与输出之间含有一个隐层的BP神经网络,利用各层输入与输出间的相关程度与网络权值确定各因素影响力大小。
Using the reconfigurable system based on FPGA controlled by CPLD in the reconfigurable implementation of BP train Network and BP implement Network of Artificial Nerual Network.
并将由CPLD控制的基于FPGA的可重构系统应用到人工神经网络的BP网络训练和BP网络执行两个算法的可重构实现过程中并进行分析。
Using the reconfigurable system based on FPGA controlled by CPLD in the reconfigurable implementation of BP train Network and BP implement Network of Artificial Nerual Network.
并将由CPLD控制的基于FPGA的可重构系统应用到人工神经网络的BP网络训练和BP网络执行两个算法的可重构实现过程中并进行分析。
应用推荐