我浏览了整个文档，但没有找到如何设置 RBF 网络。我在 ConsoleExmpales/Examples/Radial 中找到了一些 RBF 示例，但它看起来不再有效，因为 Encog 中的一些方法已被更改。

到目前为止我还停留在这个问题上:

    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，我收到错误消息“RBF 神经元总数必须是‘维度’的某个整数次方。”在 SetRBFCentersAndWidthsEqualSpacing 上。如果我为 RandomizeRBFCentersAndWidths 更改此方法，直到达到 train.iteration()，我会得到“索引超出数组范围”。

我了解 RBF 网络的工作原理，但我对 SetRBFCentersAndWidthsEqualSpacing 方法中的所有参数感到困惑，有人可以更详细地解释一下吗？。

最佳答案

很好的问题。

1. SetRBFCentersAndWidthsEqualSpacing and here是一种相对较新的神经网络训练方法，Jeff Heaton 决定实现它。

2. 看起来 Java version 之间有区别和 C# version在第 230 - 240 行，恕我直言，错误存在于 Java 版本中。

3. 我已经修改了您的代码，以便它可以使用附加注释:

   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));
   
           }
       }
   }
   

关于c# - Encog C# RBF网络，如何启动？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/39069416/