radial_basis_function.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_RBF_HPP
#define MLPACK_METHODS_ANN_LAYER_RBF_HPP
 
#include <mlpack/prereqs.hpp>
#include <mlpack/methods/ann/activation_functions/gaussian_function.hpp>
 
#include "layer_types.hpp"
 
namespace mlpack {
namespace ann  {
 
 
template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat,
    typename Activation = GaussianFunction
>
class RBF
{
 public:
  RBF();
 
  RBF(const size_t inSize,
      const size_t outSize,
      arma::mat& centres,
      double betas = 0);
 
  template<typename eT>
  void Forward(const arma::Mat<eT>& input, arma::Mat<eT>& output);
 
  template<typename eT>
  void Backward(const arma::Mat<eT>& /* input */,
                const arma::Mat<eT>& /* gy */,
                arma::Mat<eT>& /* g */);
 
  OutputDataType const& OutputParameter() const { return outputParameter; }
  OutputDataType& OutputParameter() { return outputParameter; }
 
  InputDataType const& InputParameter() const { return inputParameter; }
  InputDataType& InputParameter() { return inputParameter; }
 
  size_t InputSize() const { return inSize; }
 
  size_t OutputSize() const { return outSize; }
 
  OutputDataType const& Delta() const { return delta; }
  OutputDataType& Delta() { return delta; }
 
  template<typename Archive>
  void serialize(Archive& ar, const unsigned int /* version */);
 
 private:
  size_t inSize;
 
  size_t outSize;
 
  OutputDataType delta;
 
  OutputDataType outputParameter;
 
  double sigmas;
 
  double betas;
 
  InputDataType centres;
 
  InputDataType inputParameter;
 
  OutputDataType distances;
}; // class RBF
 
} // namespace ann
} // namespace mlpack
 
// Include implementation.
#include "radial_basis_function_impl.hpp"
 
#endif