代码搜索:Neuron

找到约 763 项符合「Neuron」的源代码

代码结果 763
www.eeworm.com/read/182193/5264795

java neuron.java

package structure; /** * 一个神经元 * */ public class Neuron { public double bias; //偏置值 public double output; //该神经元计算的输出值 public double dweight[]; //上一次权重调整
www.eeworm.com/read/177322/5329247

java neuron.java

/* AI ANN Backpropagation Copyright (C) 2002-2003 Wim Gillis http://sourceforge.net/projects/crap This program is free software; you can redistribute it and/or modify
www.eeworm.com/read/165306/5483572

h neuron.h

#ifndef _NEURON_H #define _NEURON_H #include "Link.h" #include "defines.h" #include namespace annie { // Some activation functions and their derivatives /// The identity function, ie, f(x
www.eeworm.com/read/165304/5483683

java neuron.java

import java.util.*; class Neuron { public static double momentum = 0.9; public static double learningRate = 0.2; double output; // range from 0.0 to 1.0 double sum; double delta; Vector i
www.eeworm.com/read/163233/5511108

ps neuron.ps

%! %%BoundingBox: (atend) %%Pages: (atend) %%DocumentFonts: (atend) %%EndComments % % FrameMaker PostScript Prolog 3.0, for use with FrameMaker 3.0 % Copyright (c) 1986,87,89,90,91 by Frame Technology
www.eeworm.com/read/315543/3619665

h neuron.h

#ifndef _NEURON_H #define _NEURON_H #include "Link.h" #include "defines.h" #include namespace annie { // Some activation functions and their derivatives /// The identity function, ie, f(x
www.eeworm.com/read/304754/3786069

cs neuron.cs

// AForge Neural Net Library // // Copyright
www.eeworm.com/read/292422/3953348

java neuron.java

/* * Neuron.java 1.0 09 Jun 2004 * * NeuralNetworkToolkit * Copyright (C) 2004 Universidade de Bras�lia * * This file is part of NeuralNetworkToolkit. * * NeuralNetworkToolkit is free softwar
www.eeworm.com/read/431145/1909618

cs neuron.cs

// AForge Neural Net Library // // Copyright
www.eeworm.com/read/359991/2971074

java neuron.java

package structure; /** * 一个神经元 * */ public class Neuron { public double bias; //偏置值 public double output; //该神经元计算的输出值 public double dweight[]; //上一次权重调整