Package org.encog.neural.pattern

Examples of org.encog.neural.pattern.JordanPattern.generate()

129
130
131
132
133
134
135
136
137
138
139
    JordanPattern pattern = new JordanPattern();
    pattern.setInputNeurons(this.input[0].length);
    pattern.setOutputNeurons(this.ideal[0].length);
    pattern.addHiddenLayer(16);
    pattern.setActivationFunction(new ActivationSigmoid());
    return (BasicNetwork)pattern.generate();
  }
 
  public void run()
  {
View Full Code Here
58
59
60
61
62
63
64
65
66
67
68
    JordanPattern pattern = new JordanPattern();
    pattern.setActivationFunction(new ActivationSigmoid());
    pattern.setInputNeurons(1);
    pattern.addHiddenLayer(6);
    pattern.setOutputNeurons(1);
    return (BasicNetwork)pattern.generate();
  }

  static BasicNetwork createFeedforwardNetwork() {
    // construct a feedforward type network
    FeedForwardPattern pattern = new FeedForwardPattern();
View Full Code Here
52
53
54
55
56
57
58
59
60
61
62
    // we are really just making sure no array out of bounds errors occur
    JordanPattern jordanPattern = new JordanPattern();
    jordanPattern.setInputNeurons(input);
    jordanPattern.addHiddenLayer(hidden);
    jordanPattern.setOutputNeurons(ideal);
    BasicNetwork network = (BasicNetwork)jordanPattern.generate();
    MLDataSet training = RandomTrainingFactory.generate(1000, 5, network.getInputCount(), network.getOutputCount(), -1, 1);
    ResilientPropagation prop = new ResilientPropagation(network,training);
    prop.iteration();
    prop.iteration();   
  }
View Full Code Here
179
180
181
182
183
184
185
186
187
188
189
      JordanPattern jordan = new JordanPattern();
      jordan.setInputNeurons(dialog.getInputCount().getValue());
      jordan.addHiddenLayer(dialog.getHiddenCount().getValue());
      jordan.setOutputNeurons(dialog.getOutputCount().getValue());
      jordan.setActivationFunction(new ActivationTANH());
      return jordan.generate();
    } else
      return null;

  }
View Full Code Here
52
53
54
55
56
57
58
59
60
61
62
    // we are really just making sure no array out of bounds errors occur
    JordanPattern jordanPattern = new JordanPattern();
    jordanPattern.setInputNeurons(input);
    jordanPattern.addHiddenLayer(hidden);
    jordanPattern.setOutputNeurons(ideal);
    BasicNetwork network = (BasicNetwork)jordanPattern.generate();
    MLDataSet training = RandomTrainingFactory.generate(1000, 5, network.getInputCount(), network.getOutputCount(), -1, 1);
    ResilientPropagation prop = new ResilientPropagation(network,training);
    prop.iteration();
    prop.iteration();   
  }
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.