/// <summary>
/// Creates and returns a new instance of Multi Layer Perceptron </summary>
/// <param name="layersStr"> space separated number of neurons in layers </param>
/// <param name="transferFunctionType"> transfer function type for neurons </param>
/// <returns> instance of Multi Layer Perceptron </returns>
public static MultiLayerPerceptron createMLPerceptron(string layersStr, TransferFunctionType transferFunctionType)
{
List <int> layerSizes = VectorParser.parseInteger(layersStr);
MultiLayerPerceptron nnet = new MultiLayerPerceptron(layerSizes, transferFunctionType);
return(nnet);
}
/// <summary>
/// Creates and returns a new instance of Multi Layer Perceptron </summary>
/// <param name="layersStr"> space separated number of neurons in layers </param>
/// <param name="transferFunctionType"> transfer function type for neurons </param>
/// <returns> instance of Multi Layer Perceptron </returns>
public static MultiLayerPerceptron createMLPerceptron(string layersStr, TransferFunctionType transferFunctionType, Type learningRule, bool useBias, bool connectIO)
{
List <int> layerSizes = VectorParser.parseInteger(layersStr);
NeuronProperties neuronProperties = new NeuronProperties(transferFunctionType, useBias);
MultiLayerPerceptron nnet = new MultiLayerPerceptron(layerSizes, neuronProperties);
// set learning rule - TODO: use reflection here
//JAVA TO C# CONVERTER WARNING: The .NET Type.FullName property will not always yield results identical to the Java Class.getName method:
if (learningRule.FullName.Equals(typeof(BackPropagation).FullName))
{
nnet.LearningRule = new BackPropagation();
}
//JAVA TO C# CONVERTER WARNING: The .NET Type.FullName property will not always yield results identical to the Java Class.getName method:
else if (learningRule.FullName.Equals(typeof(MomentumBackpropagation).FullName))
{
nnet.LearningRule = new MomentumBackpropagation();
}
//JAVA TO C# CONVERTER WARNING: The .NET Type.FullName property will not always yield results identical to the Java Class.getName method:
else if (learningRule.FullName.Equals(typeof(DynamicBackPropagation).FullName))
{
nnet.LearningRule = new DynamicBackPropagation();
}
//JAVA TO C# CONVERTER WARNING: The .NET Type.FullName property will not always yield results identical to the Java Class.getName method:
else if (learningRule.FullName.Equals(typeof(ResilientPropagation).FullName))
{
nnet.LearningRule = new ResilientPropagation();
}
// connect io
if (connectIO)
{
nnet.connectInputsToOutputs();
}
return(nnet);
}
