RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability, and fast convergence rate, it has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.

径向基函数网络RBF（matlb实现代码）\compare_rbf_grnn.m
..................................\curve_filter_analysis.m
..................................\curve_filt_hand_buid.m
..................................\curve_filt_hand_sim.m
..................................\curve_filt_newrb_build.m
..................................\curve_filt_newrb_build.mat
..................................\curve_filt_newrb_sim.m
..................................\example7_1.m
..................................\example7_10.m
..................................\example7_11.m
..................................\example7_12.m
..................................\example7_2.m
..................................\example7_3.m
..................................\example7_4.m
..................................\example7_5.m
..................................\example7_6.m
..................................\example7_7.m
..................................\example7_8.m
..................................\example7_9.m
..................................\grnn_net.m
..................................\grnn_test.m
..................................\net.mat
..................................\pnn_net.m
..................................\pnn_test.m
..................................\pnn_test2.m
..................................\Read me.txt
..................................\xor_hand.m
..................................\xor_newrbe.m
径向基函数网络RBF（matlb实现代码）

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．