代码搜索：BackProp
找到约 426 项符合「BackProp」的源代码
代码结果 426
www.eeworm.com/read/217035/14982223
cpp connecti.cpp
#include "neural.hpp"
#include
#include
void Connection::adjust(void)
{
//If samad Coefficient == 0 this is "classic" backprop
//If samad Coefficient == 1 this
www.eeworm.com/read/135035/13966261
bp qsar.bp
* This program does (as backprop always does) a form of non-linear
* regression. The goal is to predict the reactivity of certain chemical
* compounds given data about those compounds. This partic
www.eeworm.com/read/362500/9995885
m fun1.m
function [f,df] =fun1(x,Tscores,Uscores)
%FUN1 Objective function calculation for NNPLS
% Function calculation for use with optimization routine
% for determining weights in backprop network.
%
www.eeworm.com/read/190387/8444188
m mk_data.m
function C=mk_data(pats)
% function C=mk_data(pats)
%
% makes the data used in the backprop, RBF, SVM experiment
%
% pats - number of pattern vectors to create - must be even as
% the two
www.eeworm.com/read/168045/9941020
m mk_data.m
function C=mk_data(pats)
% function C=mk_data(pats)
%
% makes the data used in the backprop, RBF, SVM experiment
%
% pats - number of pattern vectors to create - must be even as
% the two
www.eeworm.com/read/232506/14193894
cpp bpforgaitview.cpp
// bpforgaitView.cpp : implementation of the CBpforgaitView class
//
#include "stdafx.h"
#include "bpforgait.h"
#include "bpforgaitDoc.h"
#include "bpforgaitView.h"
#include "backprop.h"
#i
www.eeworm.com/read/411382/11247694
m mk_data.m
function C=mk_data(pats)
% function C=mk_data(pats)
%
% makes the data used in the backprop, RBF, SVM experiment
%
% pats - number of pattern vectors to create - must be even as
% the two
www.eeworm.com/read/455652/7369119
cpp main.cpp
#include "BackProp.h"
#include
#include
#include
using namespace std;
#define filesize 500
int main(int argc, char* argv[])
{
char infilepath[100]="E:\\work\\SR
www.eeworm.com/read/215705/15051987
m costderiv.m
% Compute cost function and its derivatives for backprop
% First, compute the derivatives and 2nd derivatives of sigmoids
for subnet=1:ninputs
% deriv2{subnet} = 1 - output2{subnet}(1:nhidden
www.eeworm.com/read/401674/2336933
java generateid.java
package com.digiburo.backprop1;
/**
* This class generates a globally unique identifier.
* All elements (i.e. nodes and links) get a globally unique identifier.
* used for debugging/validation. Y