编码c# RBF网络，如何启动

本文关键字：启动 何启动 RBF 网络 编码 | 更新日期: 2023-09-27 18:03:24

我看了整个文档，没有找到如何设置RBF网络。我在ConsoleExmpales/Examples/Radial中找到了一些RBF的例子，但看起来它不再工作了，因为在Encog中已经改变了一些方法。

到目前为止，我被困在这个:

    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));

当我运行这个时，我得到错误"RBF神经元的总数必须是'维度'的整数次方。"在SetRBFCentersAndWidthsEqualSpacing上。它的工作，如果我改变这个方法RandomizeRBFCentersAndWidths，直到train.iteration()到达，在那里我得到"索引是在数组的边界之外"。

我了解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，有人能更详细地解释吗?

编码c# RBF网络，如何启动

问得好。

  1. SetRBFCentersAndWidthsEqualSpacing和这里是训练神经网络的相对较新的方法和Jeff Heaton决定实现它。

  2. 看起来Java版本和c#版本在230 - 240行之间存在差异，IMHO错误位于Java版本中。

  3. 我已经修改了你的代码，以便它可以使用额外的注释:

    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));
        }
    }
}
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