Examples of RadialBasisFunction

Examples of org.encog.mathutil.rbf.RadialBasisFunction

156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
        final int inputCount = flat.getLayerCounts()[2];

        flat.setRBF(new RadialBasisFunction[hiddenCount]);

        for (final String line : section.getLines()) {
          RadialBasisFunction rbf = null;
          final List<String> cols = EncogFileSection
              .splitColumns(line);
          final String name = "org.encog.mathutil.rbf." + cols.get(0);
          try {
            final Class<?> clazz = Class.forName(name);
            rbf = (RadialBasisFunction) clazz.newInstance();
          } catch (final ClassNotFoundException e) {
            throw new PersistError(e);
          } catch (final InstantiationException e) {
            throw new PersistError(e);
          } catch (final IllegalAccessException e) {
            throw new PersistError(e);
          }

          rbf.setWidth(CSVFormat.EG_FORMAT.parse(cols.get(1)));
          rbf.setPeak(CSVFormat.EG_FORMAT.parse(cols.get(2)));
          rbf.setCenters(new double[inputCount]);

          for (int i = 0; i < inputCount; i++) {
            rbf.getCenters()[i] = CSVFormat.EG_FORMAT.parse(cols
                .get(i + 3));
          }

          flat.getRBF()[index++] = rbf;
        }
View Full Code Here

Examples of org.encog.mathutil.rbf.RadialBasisFunction

102
103
104
105
106
107
108
109
110
111
112
    final RadialBasisFunction[] funcs = new RadialBasisFunction[length];

    // Iteration over neurons and determine the necessaries
    for (int i = 0; i < length; i++) {
      final RadialBasisFunction basisFunc = this.network.getRBF()[i];

      funcs[i] = basisFunc;

      // This is the value that is changed using other training methods.
      // weights[i] =
View Full Code Here

Examples of org.encog.mathutil.rbf.RadialBasisFunction

47
48
49
50
51
52
53
54
55
56
57
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1); 
  }
 
  public void testGaussian() throws Throwable {
    RadialBasisFunction radial = new GaussianFunction(0.0,1.0,1.0);
    NeighborhoodRBF1D bubble = new NeighborhoodRBF1D(radial);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
    Assert.assertEquals(0.6, bubble.function(5, 4),0.1);
  }
View Full Code Here

Examples of org.encog.mathutil.rbf.RadialBasisFunction

156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
        final int inputCount = flat.getLayerCounts()[2];

        flat.setRBF(new RadialBasisFunction[hiddenCount]);

        for (final String line : section.getLines()) {
          RadialBasisFunction rbf = null;
          final List<String> cols = EncogFileSection
              .splitColumns(line);
          final String name = "org.encog.mathutil.rbf." + cols.get(0);
          try {
            final Class<?> clazz = Class.forName(name);
            rbf = (RadialBasisFunction) clazz.newInstance();
          } catch (final ClassNotFoundException e) {
            throw new PersistError(e);
          } catch (final InstantiationException e) {
            throw new PersistError(e);
          } catch (final IllegalAccessException e) {
            throw new PersistError(e);
          }

          rbf.setWidth(CSVFormat.EG_FORMAT.parse(cols.get(1)));
          rbf.setPeak(CSVFormat.EG_FORMAT.parse(cols.get(2)));
          rbf.setCenters(new double[inputCount]);

          for (int i = 0; i < inputCount; i++) {
            rbf.getCenters()[i] = CSVFormat.EG_FORMAT.parse(cols
                .get(i + 3));
          }

          flat.getRBF()[index++] = rbf;
        }
View Full Code Here

Examples of org.encog.mathutil.rbf.RadialBasisFunction

47
48
49
50
51
52
53
54
55
56
57
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1); 
  }
 
  public void testGaussian() throws Throwable {
    RadialBasisFunction radial = new GaussianFunction(0.0,1.0,1.0);
    NeighborhoodRBF1D bubble = new NeighborhoodRBF1D(radial);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
    Assert.assertEquals(0.6, bubble.function(5, 4),0.1);
  }
View Full Code Here

Examples of org.encog.mathutil.rbf.RadialBasisFunction

102
103
104
105
106
107
108
109
110
111
112
    final RadialBasisFunction[] funcs = new RadialBasisFunction[length];

    // Iteration over neurons and determine the necessaries
    for (int i = 0; i < length; i++) {
      final RadialBasisFunction basisFunc = this.network.getRBF()[i];

      funcs[i] = basisFunc;

      // This is the value that is changed using other training methods.
      // weights[i] =
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.