代码搜索：gradient

找到约 2,951 项符合「gradient」的源代码

代码结果 2,951
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/339665/12211891

m rbfgrad.m

function [g, gdata, gprior] = rbfgrad(net, x, t) %RBFGRAD Evaluate gradient of error function for RBF network. % % Description % G = RBFGRAD(NET, X, T) takes a network data structure NET together % wi
·
www.eeworm.com/read/253434/12221610

h graphic.h

///////////////////////////////////////////////////////////// // Flash Plugin and Player // Copyright (C) 1998 Olivier Debon // // This program is free software; you can redistribute it and/or // mod
·
www.eeworm.com/read/150905/12249880

m demgpot.m

function g = demgpot(x, mix) %DEMGPOT Computes the gradient of the negative log likelihood for a mixture model. % % Description % This function computes the gradient of the negative log of the % uncon
·
www.eeworm.com/read/150905/12249899

m gradchek.m

function [gradient, delta] = gradchek(w, func, grad, varargin) %GRADCHEK Checks a user-defined gradient function using finite differences. % % Description % This function is intended as a utility for
·
www.eeworm.com/read/150905/12250116

htm gbayes.htm

Netlab Reference Manual gbayes gbayes Purpose Evaluate gradient of Bayesian error function for network. Synopsis
·
www.eeworm.com/read/150905/12250268

htm gradchek.htm

Netlab Reference Manual gradchek gradchek Purpose Checks a user-defined gradient function using finite differences. Synopsi
·
www.eeworm.com/read/150905/12250368

htm netgrad.htm

Netlab Reference Manual netgrad netgrad Purpose Evaluate network error gradient for generic optimizers Synopsis
·
www.eeworm.com/read/150905/12250478

m gbayes.m

function [g, gdata, gprior] = gbayes(net, gdata) %GBAYES Evaluate gradient of Bayesian error function for network. % % Description % G = GBAYES(NET, GDATA) takes a network data structure NET together
·
www.eeworm.com/read/150905/12250658

m rbfgrad.m

function [g, gdata, gprior] = rbfgrad(net, x, t) %RBFGRAD Evaluate gradient of error function for RBF network. % % Description % G = RBFGRAD(NET, X, T) takes a network data structure NET together % wi
·
www.eeworm.com/read/252928/12254322

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
·