1 files changed, 92 insertions, 0 deletions
diff --git a/src/TNetLib/BiasedLinearity.h b/src/TNetLib/BiasedLinearity.h
new file mode 100644
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+++ b/src/TNetLib/BiasedLinearity.h
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+#ifndef _BIASED_LINEARITY_H_
+#define _BIASED_LINEARITY_H_
+
+
+#include "Component.h"
+
+#include "Matrix.h"
+#include "Vector.h"
+
+
+namespace TNet {
+
+class BiasedLinearity : public UpdatableComponent
+{
+ public:
+
+  BiasedLinearity(size_t nInputs, size_t nOutputs, Component *pPred);
+  ~BiasedLinearity() { } 
+  
+  ComponentType GetType() const
+  { return BIASED_LINEARITY; }
+
+  const char* GetName() const
+  { return "<BiasedLinearity>"; }
+
+  Component* Clone() const;
+
+  void PropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y);
+  void BackpropagateFnc(const Matrix<BaseFloat>& X, Matrix<BaseFloat>& Y);
+
+  void ReadFromStream(std::istream& rIn);
+  void WriteToStream(std::ostream& rOut);
+
+  /// calculate gradient
+  void Gradient();
+  /// accumulate gradient from other components
+  void AccuGradient(const UpdatableComponent& src, int thr, int thrN);  
+  /// update weights, reset the accumulator
+  void Update(int thr, int thrN);
+
+ protected:
+  Matrix<BaseFloat> mLinearity;  ///< Matrix with neuron weights
+  Vector<BaseFloat> mBias;       ///< Vector with biases
+
+  const Matrix<BaseFloat>* mpLinearity;
+  const Vector<BaseFloat>* mpBias;
+
+  Matrix<BaseFloat> mLinearityCorrection; ///< Matrix for linearity updates
+  Vector<BaseFloat> mBiasCorrection;      ///< Vector for bias updates
+
+  Matrix<double> mLinearityCorrectionAccu; ///< Matrix for summing linearity updates
+  Vector<double> mBiasCorrectionAccu;      ///< Vector for summing bias updates
+
+};
+
+
+
+
+////////////////////////////////////////////////////////////////////////////
+// INLINE FUNCTIONS 
+// BiasedLinearity::
+inline 
+BiasedLinearity::
+BiasedLinearity(size_t nInputs, size_t nOutputs, Component *pPred)
+  : UpdatableComponent(nInputs, nOutputs, pPred), 
+    mLinearity(), mBias(), //cloned instaces don't need this
+    mpLinearity(&mLinearity), mpBias(&mBias), 
+    mLinearityCorrection(nInputs,nOutputs), mBiasCorrection(nOutputs),
+    mLinearityCorrectionAccu(), mBiasCorrectionAccu() //cloned instances don't need this
+{ }
+
+inline
+Component* 
+BiasedLinearity::
+Clone() const
+{
+  BiasedLinearity* ptr = new BiasedLinearity(GetNInputs(), GetNOutputs(), NULL);
+  ptr->mpLinearity = mpLinearity; //copy pointer from currently active weights
+  ptr->mpBias = mpBias;           //...
+
+  ptr->mLearningRate = mLearningRate;
+  
+  return ptr;
+}
+
+
+
+} //namespace
+
+
+
+#endif