Introduction - If you have any usage issues, please Google them yourself
development environments : C language Brief Description : BackProp algorithm : BP is the back-propagation network (Back Propagation) network. It is a multi-layer networks, all using the smallest variance learning. This is one of the most widely used network. It can be used language integrated, identification and adaptive control purposes. BP teachers need training.
Packet : 5956458backprop算法源程序.zip filelist
BACKPROP/BPROP.CPP
BACKPROP/BPROP.DEF
BACKPROP/BPROP.EXE
BACKPROP/DIGIT0.TRN
BACKPROP/DIGIT1.TRN
BACKPROP/DIGIT2.TRN
BACKPROP/DIGIT3.TRN
BACKPROP/DIGIT4.TRN
BACKPROP/DIGIT5.TRN
BACKPROP/DIGIT6.TRN
BACKPROP/DIGIT7.TRN
BACKPROP/DIGIT8.TRN
BACKPROP/DIGIT9.TRN
BACKPROP/GRID1.CPP
BACKPROP/GRID1.DEF
BACKPROP/GRID1.EXE
BACKPROP/GRID1.H
BACKPROP/GRID1.RC
BACKPROP/GRID1.RES
BACKPROP/H16.GBX
BACKPROP/H16.PRM
BACKPROP/H8.GBL
BACKPROP/H8.PRM
BACKPROP/H8D0.WGT
BACKPROP/H8D1.WGT
BACKPROP/H8D2.WGT
BACKPROP/H8D3.WGT
BACKPROP/H8D4.WGT
BACKPROP/H8D5.WGT
BACKPROP/H8D6.WGT
BACKPROP/H8D7.WGT
BACKPROP/H8D8.WGT
BACKPROP/H8D9.WGT
BACKPROP/LOAD.HPP
BACKPROP/M12CHARS.H
BACKPROP/MAKEFILE
BACKPROP/MISCLIB.H
BACKPROP/PNET.CPP
BACKPROP/QNET.CPP
BACKPROP/README.TXT
BACKPROP/RESULTS.BP
BACKPROP/SKEL0.TRN
BACKPROP/SKEL1.TRN
BACKPROP/SKEL2.TRN
BACKPROP/SKEL3.TRN
BACKPROP/SKEL4.TRN
BACKPROP/SKEL5.TRN
BACKPROP/SKEL6.TRN
BACKPROP/SKEL7.TRN
BACKPROP/SKEL8.GBX
BACKPROP/SKEL8.PRM
BACKPROP/SKEL8.TRN
BACKPROP/SKEL9.TRN
BACKPROP/TRAIN1.CMD
BACKPROP/TRAIN1A.CMD
BACKPROP/TRAINALL.CMD
BACKPROP/TRN2PIC.CPP
BACKPROP/TRN2PIC.EXE
BACKPROP/TRN2PICP.CMD
BACKPROP/UTILITY.CPP
BACKPROP/UTILITY.HPP
BACKPROP/