List of changeNeuronCount() Examples

Examples of changeNeuronCount()

org.encog.neural.prune.PruneSelective.changeNeuronCount()
Change the neuron count for the network. If the count is increased then a zero-weighted neuron is added, which will not affect the output of the neural network. If the neuron count is decreased, then the weakest neuron will be removed. This method cannot be used to remove a bias neuron. @param layer The layer to adjust. @param neuronCount The new neuron count for this layer.

Examples of org.encog.neural.prune.PruneSelective.changeNeuronCount()

        int newInputCount = dialog.getInputCount().getValue();
        int newOutputCount = dialog.getOutputCount().getValue();


        // did input neurons change?
        if (newInputCount != network.getInputCount()) {
          prune.changeNeuronCount(0, newInputCount);
        }


        // did output neurons change?
        if (newOutputCount != network.getOutputCount()) {
          prune.changeNeuronCount(0, newOutputCount);

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Examples of org.encog.neural.prune.PruneSelective.changeNeuronCount()

          prune.changeNeuronCount(0, newInputCount);
        }


        // did output neurons change?
        if (newOutputCount != network.getOutputCount()) {
          prune.changeNeuronCount(0, newOutputCount);
        }


        // did the hidden layers change?
        for (int i = 0; i < network.getLayerCount() - 2; i++) {
          int newHiddenCount = 1;

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Examples of org.encog.neural.prune.PruneSelective.changeNeuronCount()

            newHiddenCount = Integer.parseInt(str);
          }


          // did this hidden layer change?
          if (network.getLayerNeuronCount(i) != newHiddenCount) {
            prune.changeNeuronCount(i + 1, newHiddenCount);
          }
        }
      }
      setDirty(true);
      produceReport();

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