代码搜索：quickprop

找到约 57 项符合「quickprop」的源代码

代码结果 57
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/381995/9059518

java quickprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General
·
www.eeworm.com/read/466522/7026284

c quickprop.c

/* Quickprop algorithm (developed by Scott Fahlman) - a standard modified bp algorithm for comparison */ #include #include #include #include #include
·
www.eeworm.com/read/299533/7845985

java quickprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General
·
www.eeworm.com/read/217520/14959418

java quickprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General
·
www.eeworm.com/read/332574/3395358

java quickprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General
·
www.eeworm.com/read/292430/3953216

java quickprop.java

/* Copyright 2006, 2007 Brian Greer This file is part of the Java NN Trainer. Java NN Trainer is free software; you can redistribute it and/or modify it under the terms of the GNU General
·
www.eeworm.com/read/191902/8417100

m backpropagation_quickprop.m

function [D, Wh, Wo] = Backpropagation_Quickprop(train_features, train_targets, params, region) % Classify using a backpropagation network with a batch learning algorithm and quickprop % Inputs:
·
www.eeworm.com/read/286662/8751701

m backpropagation_quickprop.m

function [test_targets, Wh, Wo, J] = Backpropagation_Quickprop(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation network with a batch learning algorithm and q
·
www.eeworm.com/read/177129/9468781

m backpropagation_quickprop.m

function [D, Wh, Wo] = Backpropagation_Quickprop(train_features, train_targets, params, region) % Classify using a backpropagation network with a batch learning algorithm and quickprop % Inputs:
·
www.eeworm.com/read/372113/9521110

m backpropagation_quickprop.m

function [test_targets, Wh, Wo, J] = Backpropagation_Quickprop(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation network with a batch learning algorithm and q
·