readme
来自「Matlab 下BP 神经网络源程序例.」· 代码 · 共 26 行
TXT
26 行
Backpropagation learning: bp_innerloop The backpropagation learning algorithm, used in each of the demos below.XOR Demo: bpxor.m Learning the XOR function. XorPats.m Input patterns for XOR. XorAns.m Desired output patterns. PlotBpPats.m Plot of input patterns PlotBpBoundary.m Plot decision boundary during learning.Encoder Demo: encoder.m N-2-N encoder. PlotEncoder.m Plot of encoder decision boudaries.Function Approxmation Demo: approx.m 1-N-1 function approximator network. approxhelper.m Inner loop of training algorithm. approxfn.m Function to be approximated. PlotApprox.m Plot hidden unit and approximator results.Gradient Descent/Momentum Demo: quaderr.m Generates plots as in Hertz Krogh & Palmer figures 5.10 and 6.3
⌨️ 快捷键说明
复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?