Question

我经历了整个文档并没有找到如何设置RBF网络。我在ConsoleExmpales / Examples / Radial中找到了一些RBF示例，但看起来它不再起作用，因为在Encog中已经更改了一些方法。

到目前为止，我仍然坚持这个：

    public static double[][] XORInput = {
        new[] {0.0, 0.0},
        new[] {1.0, 0.0},
        new[] {0.0, 1.0},
        new[] {1.0, 1.0}
    };

    public static double[][] XORIdeal = {
        new[] {0.0},
        new[] {1.0},
        new[] {1.0},
        new[] {0.0}
    };

        int dimension = 8;
        int numNeuronsPerDimension = 64;
        double volumeNeuronWidth = 2.0 / numNeuronsPerDimension;
        bool includeEdgeRBFs = true;

        RBFNetwork n = new RBFNetwork(dimension, numNeuronsPerDimension, 1, RBFEnum.Gaussian);
        n.SetRBFCentersAndWidthsEqualSpacing(0, 1, RBFEnum.Gaussian, volumeNeuronWidth, includeEdgeRBFs);
        //n.RandomizeRBFCentersAndWidths(0, 1, RBFEnum.Gaussian);

        INeuralDataSet trainingSet = new BasicNeuralDataSet(XORInput, XORIdeal);
        SVDTraining train = new SVDTraining(n, trainingSet);

        int epoch = 1;
        do
        {
            train.Iteration();
            Console.WriteLine("Epoch #" + epoch + " Error:" + train.Error);
            epoch++;
        } while ((epoch < 1) && (train.Error > 0.001));

当我运行它时，我得到错误＆＃34; RBF神经元的总数必须是“维度”的幂的整数。＆＃39;。＆＃34;在 SetRBFCentersAndWidthsEqualSpacing 上。如果我为 RandomizeRBFCentersAndWidths 更改此方法，直到达到 train.iteration（），其中我得到＆＃34;索引超出了数组的范围＆＃34;。

我理解RBF网络是如何工作的，但我对 SetRBFCentersAndWidthsEqualSpacing 方法中的所有参数感到困惑，有人可以解释一下它的更多细节吗？

Answer 1

非常好的问题。

SetRBFCentersAndWidthsEqualSpacing and here是一种相对较新的神经网络训练方法，Jeff Heaton决定实施它。
在第230-240行看来Java version和C# version之间存在差异，而且Java版本中的恕我直言错误。

我修改了您的代码，以便它可以使用其他评论：

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Encog.MathUtil.RBF;
using Encog.Neural.Data.Basic;
using Encog.Neural.NeuralData;
using Encog.Neural.Rbf.Training;
using Encog.Neural.RBF;

namespace TestRBF
{
    class Program
    {
        public static double[][] XORInput = {
        new[] {0.0, 0.0},
        new[] {1.0, 0.0},
        new[] {0.0, 1.0},
        new[] {1.0, 1.0}
    };

        public static double[][] XORIdeal = {
        new[] {0.0},
        new[] {1.0},
        new[] {1.0},
        new[] {0.0}
    };

        static void Main(string[] args)
        {
            int dimension = 2; // XORInput provides two-dimensional inputs. Not 8. 
            /*
            If XORInput is  8 dimensional  it should be like this:

            public static double[][] XORInput = {
            new[] {0.0, 0.0,0.0, 0.0,0.0, 0.0,0.0, 0.0}, 
            .
            .   
            .*/
            int numNeuronsPerDimension = 4; // could be also 16, 64, 256. I suppose it should accept 8, 32 but it needs additional investigation
            double volumeNeuronWidth = 2.0 / numNeuronsPerDimension;
            bool includeEdgeRBFs = true;

            RBFNetwork n = new RBFNetwork(dimension, numNeuronsPerDimension, 1, RBFEnum.Gaussian);
            n.SetRBFCentersAndWidthsEqualSpacing(0, 1, RBFEnum.Gaussian, volumeNeuronWidth, includeEdgeRBFs);
            //n.RandomizeRBFCentersAndWidths(0, 1, RBFEnum.Gaussian);

            INeuralDataSet trainingSet = new BasicNeuralDataSet(XORInput, XORIdeal);
            SVDTraining train = new SVDTraining(n, trainingSet);

            int epoch = 1;
            do
            {
                train.Iteration();
                Console.WriteLine("Epoch #" + epoch + " Error:" + train.Error);
                epoch++;
            } while ((epoch < 1) && (train.Error > 0.001));

        }
    }
}

Encog C＃RBF网络，如何启动？

1 个答案: