Java MatrixUtils.createFieldVector方法代碼示例

本文整理匯總了Java中org.apache.commons.math3.linear.MatrixUtils.createFieldVector方法的典型用法代碼示例。如果您正苦於以下問題：Java MatrixUtils.createFieldVector方法的具體用法？Java MatrixUtils.createFieldVector怎麽用？Java MatrixUtils.createFieldVector使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.apache.commons.math3.linear.MatrixUtils的用法示例。

在下文中一共展示了MatrixUtils.createFieldVector方法的10個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: calcWeightDeltaTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void calcWeightDeltaTest()  {
    double eta = 0.1;
    Complex[] d = {new Complex(0.1),new Complex(0.2)};
    Complex[] in = {new Complex(0.1),new Complex(0.2), new Complex(0.3)};
    FieldVector<Complex> delta = MatrixUtils.createFieldVector(d);
    FieldVector<Complex> input = MatrixUtils.createFieldVector(in);
    FieldMatrix<Complex> weightDiff =  this.calcWeightDelta(delta,input,eta);

    assertEquals(2,weightDiff.getRowDimension());
    assertEquals(3,weightDiff.getColumnDimension());

    assertEquals(0.001,weightDiff.getEntry(0,0).getReal(),0.00001);
    assertEquals(0.002,weightDiff.getEntry(0,1).getReal(),0.00001);
    assertEquals(0.003,weightDiff.getEntry(0,2).getReal(),0.00001);

    assertEquals(0.002,weightDiff.getEntry(1,0).getReal(),0.00001);
    assertEquals(0.004,weightDiff.getEntry(1,1).getReal(),0.00001);
    assertEquals(0.006, weightDiff.getEntry(1, 2).getReal(), 0.00001);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:21，代碼來源:LayerPropagationTest.java

示例2: layerpropagateTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void layerpropagateTest() throws Exception {
    FeedForwardNet net = getNetWith1Weights();
    SingleThreadPropagation prop = new SingleThreadPropagationTest();
    prop.setNetWork(net);
    prop.setEta(10);
    SingleThreadCalculation calc = new SingleThreadCalculation(net);
    Complex[] in = {new Complex(1),new Complex(1)};
    Complex[] tar = {new Complex(1)};
    FieldVector<Complex> input = MatrixUtils.createFieldVector(in);
    FieldVector<Complex> target = MatrixUtils.createFieldVector(tar);

    FieldVector<Complex> output = calc.calculate(input);
    FieldVector<Complex> error = target.subtract(output);

    prop.propagate(error, calc.getLayerResults());

    assertEquals(1.161527544, net.getLayers().get(1).getNeurons().get(0).getOutputs().get(0).getWeight().getReal(), 0.00001);
    assertEquals(1.01925455, net.getLayers().get(0).getNeurons().get(0).getOutputs().get(0).getWeight().getReal(), 0.00001);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:21，代碼來源:SingleThreadPropagationTest.java

示例3: transform

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
public static FieldVector transform(double[] vector){
    Complex[] ret = new Complex[vector.length];
    for(int i = 0; i < ret.length; i++) {
        ret[i] = transform(vector[i]);
    }
    return MatrixUtils.createFieldVector(ret);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:8，代碼來源:Helper.java

示例4: calculationTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void calculationTest() throws SeviException {
    FeedForwardNet net = new FeedForwardNet();
    net.addLayer(2, ActivationFunction.Sigmoid);
    net.addLayer(2, ActivationFunction.Sigmoid);
    net.addLayer(1, ActivationFunction.Sigmoid);

    Neuron outputn = net.getLayers().get(2).getNeurons().get(0);
    outputn.getInputs().get(0).setWeight(new Complex(0.5));
    outputn.getInputs().get(1).setWeight(new Complex(0.7));

    Neuron input1 = net.getLayers().get(0).getNeurons().get(0);
    input1.getOutputs().get(0).setWeight(new Complex(1));
    input1.getOutputs().get(1).setWeight(new Complex(0.9));
    Neuron input2 = net.getLayers().get(0).getNeurons().get(1);
    input2.getOutputs().get(0).setWeight(new Complex(0.1));
    input2.getOutputs().get(1).setWeight(new Complex(0.2));

    Complex[] input = {new Complex(1), new Complex(2)};
    FieldVector<Complex> in = MatrixUtils.createFieldVector(input);
    SingleThreadCalculation calc = new SingleThreadCalculation(net);
    FieldVector<Complex> out = calc.calculate(in);

    assertEquals(0.7685247, calc.getLayerResults().get(0).getOutput().getEntry(0).getReal(),0.00001);
    assertEquals(0.7858349, calc.getLayerResults().get(0).getOutput().getEntry(1).getReal(),0.00001);
    assertEquals(0.717956, out.getEntry(0).getReal(),0.00001);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:28，代碼來源:SingleThreadCalculationTest.java

示例5: calcDeltaTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void calcDeltaTest() {
    Complex[] err = {new Complex(1), new Complex(2)};
    Complex[] out = {new Complex(3), new Complex(4)};
    Complex[] sh = {new Complex(-6), new Complex(-24)};

    FieldVector<Complex> error = MatrixUtils.createFieldVector(err);
    FieldVector<Complex> output = MatrixUtils.createFieldVector(out);
    FieldVector<Complex> should = MatrixUtils.createFieldVector(sh);

    FieldVector<Complex> result = this.calcDelta(error, output);

    System.out.println(should.equals(result));
    assertEquals(should,result);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:16，代碼來源:LayerPropagationTest.java

示例6: calcErrorTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void calcErrorTest() {
    Complex[][] weights = {{new Complex(1), new Complex(2)},{new Complex(1), new Complex(2)}};
    Complex[] delta = {new Complex(1), new Complex(2)};
    Complex[] should = {new Complex(3), new Complex(6)};
    FieldMatrix<Complex> w = MatrixUtils.createFieldMatrix(weights);
    FieldVector<Complex> d = MatrixUtils.createFieldVector(delta);
    FieldVector<Complex> s = MatrixUtils.createFieldVector(should);

    assertEquals(s,this.calcError(w,d));
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:12，代碼來源:LayerPropagationTest.java

示例7: getInputMatrixTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void getInputMatrixTest() throws SeviException{
    Complex[] in = {new Complex(1)}, out = {new Complex(2)};

    ComplexPair c = new ComplexPair(MatrixUtils.createFieldVector(in),MatrixUtils.createFieldVector(out));
    ComplexDataset cd =  new ComplexDataset();
    cd.add(c);

    Complex[][] matrix = cd.getInputMatrix();
    assertEquals(1,matrix.length);
    assertEquals(1,matrix[0].length);
    assertEquals(1,matrix[0][0].getReal(),0.0001);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:14，代碼來源:DatasetTest.java

示例8: getOutputMatrixTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
@Test
public void getOutputMatrixTest() throws SeviException{
    Complex[] in = {new Complex(1)}, out = {new Complex(2)};
    ComplexPair c = new ComplexPair(MatrixUtils.createFieldVector(in),MatrixUtils.createFieldVector(out));
    ComplexDataset cd =  new ComplexDataset();
    cd.add(c);

    Complex[][] matrix = cd.getOutputMatrix();
    assertEquals(1,matrix.length);
    assertEquals(1,matrix[0].length);
    assertEquals(2,matrix[0][0].getReal(),0.0001);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:13，代碼來源:DatasetTest.java

示例9: getInitializedVector

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
private FieldVector<Complex> getInitializedVector() {
    Complex[] vector = new Complex[2];
    vector[0] = new Complex(1);
    vector[1] = new Complex(2);
    return MatrixUtils.createFieldVector(vector);
}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:7，代碼來源:SingleThreadCalculationTest.java

示例10: getOutTest

import org.apache.commons.math3.linear.MatrixUtils; //導入方法依賴的package包/類
public void getOutTest(){
    Complex[][] m = {{new Complex(1),new Complex(2)},{new Complex(3),new Complex(4)}};
    FieldMatrix<Complex> matrix = MatrixUtils.createFieldMatrix(m);

    Complex[] v = {new Complex(1),new Complex(2)};
    FieldVector<Complex> vector = MatrixUtils.createFieldVector(v);

    FieldVector<Complex> multi = matrix.operate(vector);

    System.out.println("Matrix:");
    out(matrix);

    System.out.println("Vector:");
    out(vector);

    System.out.println("Result:");
    out(multi);

}

開發者ID:Sebubu，項目名稱:ComplexNeuralNet，代碼行數:20，代碼來源:LayerTest.java

注：本文中的org.apache.commons.math3.linear.MatrixUtils.createFieldVector方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。