try ANN and SVM models for logging data and T2 parameters

Today, I tried ANN and SVM again.

Summary:

ANN:

SVM:

svmstd =

  RegressionSVM
             ResponseName: 'Y'
    CategoricalPredictors: []
        ResponseTransform: 'none'
                    Alpha: [1104×1 double]
                     Bias: 0.0015
         KernelParameters: [1×1 struct]
                       Mu: [1×16 double]
                    Sigma: [1×16 double]
          NumObservations: 3055
           BoxConstraints: [3055×1 double]
          ConvergenceInfo: [1×1 struct]
          IsSupportVector: [3055×1 logical]
                   Solver: 'SMO'

The result is like that. The model converged after 552 iterations.
The MSE of the model is 1.1725e-6.

The model is not good enough yet. There may be two reasons.
First, for ANN, 3055 observations with 16 predictors may not be big enough to build a good model. The data matrix is not big enough. So ANN is not suitable for building the model.
Second, We should delete some noises of logging data manually.

Tomorrow, I will continue to apply it to SVM and verify two assumptions mentioned above.