Java ActivationSigmoid类代码示例

OStack程序员社区-中国程序员成长平台 › 门户 › 编程› Java›Java编程经验

原作者: [db:作者] 来自: [db:来源] 收藏邀请

本文整理汇总了Java中org.encog.engine.network.activation.ActivationSigmoid类的典型用法代码示例。如果您正苦于以下问题：Java ActivationSigmoid类的具体用法？Java ActivationSigmoid怎么用？Java ActivationSigmoid使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

ActivationSigmoid类属于org.encog.engine.network.activation包，在下文中一共展示了ActivationSigmoid类的10个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: createNeuralNetwork

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
private BasicNetwork createNeuralNetwork() {
  BasicNetwork network = new BasicNetwork();

  // input layer
  network.addLayer(new BasicLayer(null, true, inputLayerSize));

  // hidden layer
  network.addLayer(new BasicLayer(new ActivationSigmoid(), true, inputLayerSize / 6));
  network.addLayer(new BasicLayer(new ActivationSigmoid(), true, inputLayerSize / 6 / 4));

  // output layer
  network.addLayer(new BasicLayer(new ActivationSigmoid(), false, outputLayerSize));

  network.getStructure().finalizeStructure();
  network.reset();

  return network;
}

开发者ID:RusZ，项目名称:TextClassifier，代码行数:19，代码来源:Classifier.java

示例2: main

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/**
 * The main method.
 * @param args No arguments are used.
 */
public static void main(final String args[]) {

    // create a neural network, without using a factory
    BasicNetwork network = new BasicNetwork();
    network.addLayer(new BasicLayer(null,true,2));
    network.addLayer(new BasicLayer(new ActivationSigmoid(),true,3));
    network.addLayer(new BasicLayer(new ActivationSigmoid(),false,1));
    network.getStructure().finalizeStructure();
    network.reset();

    // create training data
    MLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT, XOR_IDEAL);

    // train the neural network
    final ResilientPropagation train = new ResilientPropagation(network, trainingSet);

    int epoch = 1;

    do {
        train.iteration();
        System.out.println("Epoch #" + epoch + " Error:" + train.getError());
        epoch++;
    } while(train.getError() > 0.01);
    train.finishTraining();

    // test the neural network
    System.out.println("Neural Network Results:");
    for(MLDataPair pair: trainingSet ) {
        final MLData output = network.compute(pair.getInput());
        System.out.println(pair.getInput().getData(0) + "," + pair.getInput().getData(1)
                + ", actual=" + output.getData(0) + ",ideal=" + pair.getIdeal().getData(0));
    }

    Encog.getInstance().shutdown();
}

开发者ID:neo4j-contrib，项目名称:neo4j-ml-procedures，代码行数:40，代码来源:XORHelloWorld.java

示例3: getNetwork

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
private BasicNetwork getNetwork() {
    BasicNetwork network = new BasicNetwork();
    network.addLayer(new BasicLayer(new ActivationSigmoid(), true, INPUTS.length));
    network.addLayer(new BasicLayer(new ActivationSigmoid(), true, 25));
    network.addLayer(new BasicLayer(new ActivationSigmoid(), true, OUTPUTS.length));
    network.getStructure().finalizeStructure();
    network.reset();
    return network;
}

开发者ID:Ignotus，项目名称:torcsnet，代码行数:10，代码来源:EncogMLPTrainingTest.java

示例4: BackPropagationNeuralNet

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/** Neural Network structure initialization */
public BackPropagationNeuralNet() {
  iterations = new ArrayList<>();
  errors = new ArrayList<>();
  
  network = new BasicNetwork();
  network.addLayer(new BasicLayer(null, true, 4));
  network.addLayer(new BasicLayer(new ActivationSigmoid(), true, 10));
  network.addLayer(new BasicLayer(new ActivationSigmoid(), false, 1));
  network.getStructure().finalizeStructure();
  network.reset();
  new ConsistentRandomizer(-1, 1, 500).randomize(network);
}

开发者ID:Saka7，项目名称:Layer-Classifier，代码行数:14，代码来源:BackPropagationNeuralNet.java

示例5: ResilientPropagationNeuralNet

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/** Neural Network structure initialization */
public ResilientPropagationNeuralNet() {
  iterations = new ArrayList<>();
  errors = new ArrayList<>();
  network = new BasicNetwork();
  network.addLayer(new BasicLayer(null, true, 4));
  network.addLayer(new BasicLayer(new ActivationSigmoid(), true, 10));
  network.addLayer(new BasicLayer(new ActivationSigmoid(), false, 1));
  network.getStructure().finalizeStructure();
  network.reset();
  new ConsistentRandomizer(-1, 1, 500).randomize(network);
}

开发者ID:Saka7，项目名称:Layer-Classifier，代码行数:13，代码来源:ResilientPropagationNeuralNet.java

示例6: generateNetwork

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/**
 * Generate basic NN network object
 */
public static BasicNetwork generateNetwork(int in, int hidden, int out) {
    final BasicNetwork network = new BasicNetwork();
    network.addLayer(new BasicLayer(new ActivationLinear(), true, in));
    network.addLayer(new BasicLayer(new ActivationSigmoid(), true, hidden));
    network.addLayer(new BasicLayer(new ActivationSigmoid(), false, out));

    network.getStructure().finalizeStructure();
    network.reset();
    return network;
}

开发者ID:ShifuML，项目名称:guagua，代码行数:14，代码来源:NNUtils.java

示例7: initGradient

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
private void initGradient(MLDataSet training, double[] weights) {
    BasicNetwork network = NNUtils.generateNetwork(this.inputs, this.hiddens, this.outputs);
    // use the weights from master
    network.getFlat().setWeights(weights);

    FlatNetwork flat = network.getFlat();
    // copy Propagation from encog
    double[] flatSpot = new double[flat.getActivationFunctions().length];
    for(int i = 0; i < flat.getActivationFunctions().length; i++) {
        flatSpot[i] = flat.getActivationFunctions()[i] instanceof ActivationSigmoid ? 0.1 : 0.0;
    }

    this.gradient = new Gradient(flat, training, flatSpot, new LinearErrorFunction());
}

开发者ID:ShifuML，项目名称:guagua，代码行数:15，代码来源:NNWorker.java

示例8: main

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/**
 * The main method.
 * @param args No arguments are used.
 */
public static void main(final String args[]) {

	// create a neural network, without using a factory
	BasicNetwork network = new BasicNetwork();
	network.addLayer(new BasicLayer(null,true,2));
	network.addLayer(new BasicLayer(new ActivationSigmoid(),true,3));
	network.addLayer(new BasicLayer(new ActivationSigmoid(),false,1));
	network.getStructure().finalizeStructure();
	network.reset();

	// create training data
	MLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT, XOR_IDEAL);

	// train the neural network
	final ResilientPropagation train = new ResilientPropagation(network, trainingSet);

	int epoch = 1;

	do {
		train.iteration();
		System.out.println("Epoch #" + epoch + " Error:" + train.getError());
		epoch++;
	} while(train.getError() > 0.01);
	train.finishTraining();

	// test the neural network
	System.out.println("Neural Network Results:");
	for(MLDataPair pair: trainingSet ) {
		final MLData output = network.compute(pair.getInput());
		System.out.println(pair.getInput().getData(0) + "," + pair.getInput().getData(1)
				+ ", actual=" + output.getData(0) + ",ideal=" + pair.getIdeal().getData(0));
	}

	Encog.getInstance().shutdown();
}

开发者ID:encog，项目名称:encog-sample-java，代码行数:40，代码来源:HelloWorld.java

示例9: test

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
public static void test(double[][] inputValues, double[][] outputValues)
{
    NeuralDataSet trainingSet = new BasicNeuralDataSet(inputValues, outputValues);
    BasicNetwork network = new BasicNetwork();
    network.addLayer(new BasicLayer(new ActivationSigmoid(), false, 4));
    network.addLayer(new BasicLayer(new ActivationSigmoid(), false, 1000));
    network.addLayer(new BasicLayer(new ActivationLinear(), false, 1));
    network.getStructure().finalizeStructure();
    network.reset();
    final Train train = new ResilientPropagation(network, trainingSet);
    int epoch = 1;
    do
    {
        train.iteration();
        System.out.println("Epoch #" + epoch + " Error:" + train.getError());
        epoch++;
    }
    while(epoch < 10000);
    System.out.println("Neural Network Results:");
    for(MLDataPair pair : trainingSet)
    {
        final MLData output = network.compute(pair.getInput());
        System.out.println(pair.getInput().getData(0) + "," + pair.getInput().getData(1) + ", actual="
            + output.getData(0) + ",ideal=" + pair.getIdeal().getData(0));

    }
}

开发者ID:santjuan，项目名称:dailyBot，代码行数:28，代码来源:NeuralNetworkAnalysis.java

示例10: newNetwork

import org.encog.engine.network.activation.ActivationSigmoid; //导入依赖的package包/类
/**
 * Create new artificial neural network.
 * 
 * @param inputSize
 *            Size of the input layer.
 * @param hiddenSize
 *            Size of the hidden layer.
 * @param outputSize
 *            Size of the output layer.
 * 
 * @return Neural network created object.
 */
public static BasicNetwork newNetwork(int inputSize, int hiddenSize, int outputSize) {
	BasicNetwork net = new BasicNetwork();

	net.addLayer(new BasicLayer(null, true, inputSize));
	net.addLayer(new BasicLayer(new ActivationSigmoid(), true, hiddenSize));
	net.addLayer(new BasicLayer(new ActivationSigmoid(), false, outputSize));
	net.getStructure().finalizeStructure();
	net.reset();

	return net;
}

开发者ID:VelbazhdSoftwareLLC，项目名称:Complica4，代码行数:24，代码来源:Util.java

注：本文中的org.encog.engine.network.activation.ActivationSigmoid类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

鲜花

握手

雷人

路过

鸡蛋

该文章已有0人参与评论

请发表评论

全部评论

专题导读

More+

10-27 六六分期app的软件客服如何联系？(六六分期

11-06 可心卡盟:win10系统火狐flash插件崩溃怎么

11-06 亲亲特价:怎么删除回收站图标

11-06 济南大学虚拟社区:鲁大师节能降温的具体办

11-06 xlueops.exe:无线网络安装向导

11-06 女斗合众国:win7系统cf与主机连接不稳定怎

11-06 0xc000022-[cf烟雾头]cf怎么调烟雾头

11-06 qizideyouhuo:应用程序无法正常启动0xc0000

11-06 ipz-185:win7系统vcf文件怎么打开

11-06 傻哥蹦迪:win10系统s4怎么打开usb调试

11-06 八神浩树gtaste:回收站清空了怎么恢复

11-06 妖尾之黑色守护:win10系统电脑没有1440x900

11-06 校园至尊魔王小说:win7系统浏览网页时字体

11-06 女斗合众国:win10系统访问共享文件夹提示请

11-06 tokyo hot n0654:恢复win7系统默认字体一招

11-06 雨酷仙境:设置win7系统转移临时文件夹腾出

11-06 阿穆纳伊之杖:win7系统开始菜单在右边还原

11-06 tunespotting:win10系统火狐flash插件总是

11-06 甘尔葛分析师：计谋网站seo关键词暴涨有什

11-06 蔡贵霖: 计谋网站seo关键词暴涨有什么秘密

11-06 博益网首页:ao3网页版进入不了解决方法

11-06 漏斗子专栏: 网站数据分析小白易懂精华篇

11-06 见证双虹怎么做:win7系统开启telnet命令的

11-06 颾狐蝶蜋:系统资源不足无法完成请求的服务

11-06 国光中学校歌:提交网站到alexa查询详细步骤

11-06 西安有情天:静态网页和动态网页的区别

11-06 红木雅尚斋:外部链接构造对网站的好处

11-06 前官礼遇：防止域名劫持–增强域安全性的10

11-06 密传二转答案: 中文分词算法有哪些

11-06 金泉家园邮编:百度快照劫持的表现及应对方

Java PropertyKey类代码示例发布时间：2022-05-22

Java SHA1类代码示例发布时间：2022-05-22

剪的笔顺,诠释剪的笔画,认识剪的部首

1 六六分期app的软件客服如何联系？(六六分期

六六分期app的软件客服如何联系？不知道吗？加qq群【895510560】即可！标题：六六分期

阅读：19277|2023-10-27

2 可心卡盟:win10系统火狐flash插件崩溃怎么

今天小编告诉大家如何处理win10系统火狐flash插件总是崩溃的问题，可能很多用户都不知

阅读：10015|2022-11-06

3 亲亲特价:怎么删除回收站图标

今天小编告诉大家如何对win10系统删除桌面回收站图标进行设置，可能很多用户都不知道

阅读：8341|2022-11-06

4 济南大学虚拟社区:鲁大师节能降温的具体办

今天小编告诉大家如何对win10系统电脑设置节能降温的设置方法，想必大家都遇到过需要

阅读：8710|2022-11-06

5 xlueops.exe:无线网络安装向导

我们在使用xp系统的过程中,经常需要对xp系统无线网络安装向导设置进行设置，可能很多

阅读：8655|2022-11-06

6 女斗合众国:win7系统cf与主机连接不稳定怎

今天小编告诉大家如何处理win7系统玩cf老是与主机连接不稳定的问题，可能很多用户都不

阅读：9684|2022-11-06

7 0xc000022-[cf烟雾头]cf怎么调烟雾头

电脑对日常生活的重要性小编就不多说了，可是一旦碰到win7系统设置cf烟雾头的问题，很

阅读：8643|2022-11-06

8 qizideyouhuo:应用程序无法正常启动0xc0000

我们在日常使用电脑的时候，有的小伙伴们可能在打开应用的时候会遇见提示应用程序无法

阅读：8011|2022-11-06

9 ipz-185:win7系统vcf文件怎么打开

今天小编告诉大家如何对win7系统打开vcf文件进行设置，可能很多用户都不知道怎么对win

阅读：8680|2022-11-06

10 傻哥蹦迪:win10系统s4怎么打开usb调试

今天小编告诉大家如何对win10系统s4开启USB调试模式进行设置，可能很多用户都不知道怎

阅读：7547|2022-11-06

客服电话

电子邮件

Java ActivationSigmoid类代码示例

示例1: createNeuralNetwork

示例2: main

示例3: getNetwork

示例4: BackPropagationNeuralNet

示例5: ResilientPropagationNeuralNet

示例6: generateNetwork

示例7: initGradient

示例8: main

示例9: test

示例10: newNetwork

请发表评论

全部评论

上一篇：

下一篇：

gabr42/OmniThreadLibrary: A simple and p

kikito/love-loader: Threaded resource lo

GrahamLea/scala-spring-hibernate-maven-w

晒伤后皮肤发红怎么办？教大家8个方法快速

eclipse/paho.mqtt.c: An Eclipse Paho C c

剪的笔顺,诠释剪的笔画,认识剪的部首

六六分期app的软件客服如何联系？(六六分期

florent37/ViewAnimator: A fluent Android

florent37/Shrine-MaterialDesign2: implem

CVE-2020-36276

SimpleSoftwareIO/simple-sms: Send and re

关于我们

产品与服务

解决方案

139-2527-9053