搜索资源列表
Appendix_B
- 用于函数逼近的BP算法程序,可在Matlab中调试运行,绝对可行
bpalgorithm1
- BP算法的C语言实现,可用于函数逼近,分类,数据挖掘应用等-BP algorithm C language can be used to function approximation and classification, data mining applications
do03zpyI
- matlab 里用BP网络实现函数逼近的例子-Matlab Lane BP network function approximation example
dongliangsuanfa
- 采用动量梯度下降算法训练BP网络,证明,一个3层的BP网络能够实现任意的连续映射,可以任意精度逼近任何给定的连续函数。-Using momentum gradient descent algorithm to train the BP network, proved that a three-layer BP network to any continuous mapping can be arbitrary-precision approach any given continuous fun
b
- BP算法函数逼近问题程序,是一段MATLAB程序代码,仅供参考-BP function approximation algorithm for the problem program, is a piece of MATLAB code, for reference
pso-bp
- 使用粒子群算法优化bp神经网络,完成函数逼近(Optimize bp neural network using particle swarm optimization algorithm to complete function approximation)
bp
- 利用BP神经网络算法,进行正弦函数逼近,参数可以根据需要自行调节(BP neural network algorithm, a sine function approximation, parameters can be adjusted according to their own)