diff --git a/src/Neuron/Neuron.h b/src/Neuron/Neuron.h
index 6900c36f3d26331b825e7d36f2c56e9a3fc9e555..88747a63ef073600dae1bce06bf9f34b4f4c0c61 100644
--- a/src/Neuron/Neuron.h
+++ b/src/Neuron/Neuron.h
@@ -32,7 +32,7 @@ namespace lib4neuro {
protected:
/**
- * Holds the last value of the activation function, used by this->activate
+ * holds the last value of the activation function, used by this->activate
*/
double activation_val;
@@ -64,24 +64,12 @@ namespace lib4neuro {
}; /* end of Neuron class */
- /**
- * Abstract clas providing the method get_derivative()
- */
- class IGetDerivative {
- public:
- /**
- * Returns a Neuron pointer object with activation function being the partial derivative of
- * the activation function of this Neuron object with respect to the argument, i.e. 'potential'
- * @return
- */
- virtual Neuron* get_derivative() = 0;
- };
- /**
- * Class serving as an interface providing 'activation_function_eval_partial_derivative',
- * 'activation_function_eval_derivative', 'get_partial_derivative' and
- * 'get_derivative' methods.
- */
+/**
+ * Class serving as an interface providing 'activation_function_eval_partial_derivative',
+ * 'activation_function_eval_derivative', 'get_partial_derivative' and
+ * 'get_derivative' methods.
+ */
class NeuronDifferentiable : public Neuron {
public:
/**
@@ -96,6 +84,13 @@ namespace lib4neuro {
* and 'b' is the bias
*/
virtual double activation_function_eval_derivative_bias(double x, double b) = 0;
+
+ /**
+ * Returns a Neuron pointer object with activation function being the partial derivative of
+ * the activation function of this Neuron object with respect to the argument, i.e. 'potential'
+ * @return
+ */
+ virtual Neuron *get_derivative() = 0;
};
}
diff --git a/src/Neuron/NeuronBinary.cpp b/src/Neuron/NeuronBinary.cpp
index 652559617ae3025ef3188c6bc89f934dc8d7f94a..9e7bbb80d616a0b56fbfbdecd021e28021ab4b36 100644
--- a/src/Neuron/NeuronBinary.cpp
+++ b/src/Neuron/NeuronBinary.cpp
@@ -22,4 +22,5 @@ namespace lib4neuro {
return this->activation_val;
}
+
}
\ No newline at end of file
diff --git a/src/Neuron/NeuronBinary.h b/src/Neuron/NeuronBinary.h
index 717cbab2a9589ee453191a6340749ef7c0c18aae..1992b03fa3495787b9da990ebe54139d1b59c6f6 100644
--- a/src/Neuron/NeuronBinary.h
+++ b/src/Neuron/NeuronBinary.h
@@ -14,9 +14,9 @@
namespace lib4neuro {
- /**
- * Binary neuron class - uses unit-step as the activation function
- */
+/**
+ * Binary neuron class - uses unit-step as the activation function
+ */
class NeuronBinary : public Neuron {
public:
diff --git a/src/Neuron/NeuronConstant.h b/src/Neuron/NeuronConstant.h
index b59f6bf38eab837c3d4dfa732a409155c2f8d941..71e43013630f8d5f6bf1caded440113468719505 100644
--- a/src/Neuron/NeuronConstant.h
+++ b/src/Neuron/NeuronConstant.h
@@ -12,7 +12,7 @@
namespace lib4neuro {
- class NeuronConstant : public NeuronDifferentiable, IGetDerivative {
+ class NeuronConstant : public NeuronDifferentiable {
private:
double p = 0.0;
diff --git a/src/Neuron/NeuronLinear.h b/src/Neuron/NeuronLinear.h
index 2db91345d746435dea2d0fb0dcba44994475f38a..d7043f932180790965b2a55b4ba8285ff949e469 100644
--- a/src/Neuron/NeuronLinear.h
+++ b/src/Neuron/NeuronLinear.h
@@ -18,7 +18,7 @@ namespace lib4neuro {
* Linear neuron class - uses activation function in the form f(x)=a*x + b,
* 'x' being the neuron's potential
*/
- class NeuronLinear:public NeuronDifferentiable, IGetDerivative {
+ class NeuronLinear:public NeuronDifferentiable {
public:
diff --git a/src/Neuron/NeuronLogistic.cpp b/src/Neuron/NeuronLogistic.cpp
index 9403784db8bb299dabd408efd9850b8ab6759c86..dd1469d794c4a4dbba8e3c847bed287a76f42674 100644
--- a/src/Neuron/NeuronLogistic.cpp
+++ b/src/Neuron/NeuronLogistic.cpp
@@ -43,10 +43,10 @@ namespace lib4neuro {
return -this->activation_function_eval_derivative_bias(x, b);
}
-// NeuronLogistic *NeuronLogistic_d2::get_derivative() {
-// //TODO maybe not the best way
-// return nullptr;
-// }
+ NeuronLogistic *NeuronLogistic_d2::get_derivative() {
+ //TODO maybe not the best way
+ return nullptr;
+ }
NeuronLogistic_d1::NeuronLogistic_d1() {}
@@ -78,7 +78,7 @@ namespace lib4neuro {
return -this->activation_function_eval_derivative_bias(x, b);
}
- NeuronDifferentiable* NeuronLogistic_d1::get_derivative() {
+ NeuronLogistic *NeuronLogistic_d1::get_derivative() {
//(e^(b + x) (e^b - e^x))/(e^b + e^x)^3
NeuronLogistic_d2 *output = nullptr;
@@ -113,7 +113,7 @@ namespace lib4neuro {
}
- NeuronDifferentiable* NeuronLogistic::get_derivative() {
+ NeuronLogistic *NeuronLogistic::get_derivative() {
NeuronLogistic_d1 *output = nullptr;
output = new NeuronLogistic_d1();
diff --git a/src/Neuron/NeuronLogistic.h b/src/Neuron/NeuronLogistic.h
index 45cd4f45b78a2ce7129d00498cc0c0a06f91bc69..9daf384bf05def06eec5038880371d23cf175d39 100644
--- a/src/Neuron/NeuronLogistic.h
+++ b/src/Neuron/NeuronLogistic.h
@@ -16,7 +16,7 @@
#include "Neuron.h"
namespace lib4neuro {
- class NeuronLogistic : public NeuronDifferentiable, IGetDerivative {
+ class NeuronLogistic : public NeuronDifferentiable {
public:
@@ -54,7 +54,7 @@ namespace lib4neuro {
* Returns a pointer to a Neuron with derivative as its activation function
* @return
*/
- LIB4NEURO_API virtual NeuronDifferentiable* get_derivative() override;
+ LIB4NEURO_API virtual NeuronLogistic *get_derivative() override;
};
@@ -78,7 +78,7 @@ namespace lib4neuro {
/**
* Evaluates 'e^(b - x)/(e^(b - x) + 1)^2' and returns the result
*/
- LIB4NEURO_API double activate(double x, double b) override;
+ LIB4NEURO_API virtual double activate(double x, double b) override;
/**
* Calculates the partial derivative of the activation function
@@ -86,23 +86,23 @@ namespace lib4neuro {
* @return Partial derivative of the activation function according to the
* bias, returns: (e^(b + x) (e^x - e^b))/(e^b + e^x)^3
*/
- LIB4NEURO_API double activation_function_eval_derivative_bias(double x, double b) override;
+ LIB4NEURO_API virtual double activation_function_eval_derivative_bias(double x, double b) override;
/**
* Calculates d/dx of e^(b - x)*(1 + e^(b - x))^(-2)
* @return (e^(b + x) (e^b - e^x))/(e^b + e^x)^3
*/
- LIB4NEURO_API double activation_function_eval_derivative(double x, double b) override;
+ LIB4NEURO_API virtual double activation_function_eval_derivative(double x, double b) override;
/**
* Returns a pointer to a Neuron with derivative as its activation function
* @return
*/
- LIB4NEURO_API NeuronDifferentiable* get_derivative() override;
+ LIB4NEURO_API virtual NeuronLogistic *get_derivative() override;
};
- class NeuronLogistic_d2 : public NeuronDifferentiable {
+ class NeuronLogistic_d2 : public NeuronLogistic_d1 {
public:
@@ -121,7 +121,7 @@ namespace lib4neuro {
/**
* Evaluates '(e^(b + x) (e^b - e^x))/(e^b + e^x)^3' and returns the result
*/
- LIB4NEURO_API double activate(double x, double b) override;
+ LIB4NEURO_API virtual double activate(double x, double b) override;
/**
* Calculates the partial derivative of the activation function
@@ -129,19 +129,19 @@ namespace lib4neuro {
* @return Partial derivative of the activation function according to the
* bias, returns: -(e^(b + x) (-4 e^(b + x) + e^(2 b) + e^(2 x)))/(e^b + e^x)^4
*/
- LIB4NEURO_API double activation_function_eval_derivative_bias(double x, double b) override;
+ LIB4NEURO_API virtual double activation_function_eval_derivative_bias(double x, double b) override;
/**
* Calculates d/dx of (e^(b + x) (e^b - e^x))/(e^b + e^x)^3
* @return (e^(b + x) (-4 e^(b + x) + e^(2 b) + e^(2 x)))/(e^b + e^x)^4
*/
- LIB4NEURO_API double activation_function_eval_derivative(double x, double b) override;
+ LIB4NEURO_API virtual double activation_function_eval_derivative(double x, double b) override;
/**
*
* @return
*/
-// LIB4NEURO_API virtual NeuronLogistic *get_derivative() override;
+ LIB4NEURO_API virtual NeuronLogistic *get_derivative() override;
};
diff --git a/src/Neuron/NeuronLogisticSerialization.h b/src/Neuron/NeuronLogisticSerialization.h
index 4bb0311fdefbba8bf73d17aee5a514c3811f4b50..1d65fcba360ff47d9fcc4baeec740c1746f430de 100644
--- a/src/Neuron/NeuronLogisticSerialization.h
+++ b/src/Neuron/NeuronLogisticSerialization.h
@@ -29,14 +29,14 @@ namespace lib4neuro {
struct NeuronLogistic_d1::access {
template<class Archive>
static void serialize(Archive &ar, NeuronLogistic_d1 &n, const unsigned int version) {
- ar & boost::serialization::base_object<Neuron>(n);
+ ar & boost::serialization::base_object<NeuronLogistic>(n);
}
};
struct NeuronLogistic_d2::access {
template<class Archive>
static void serialize(Archive &ar, NeuronLogistic_d2 &n, const unsigned int version) {
- ar & boost::serialization::base_object<Neuron>(n);
+ ar & boost::serialization::base_object<NeuronLogistic_d1>(n);
}
};
diff --git a/src/Solvers/DESolver.cpp b/src/Solvers/DESolver.cpp
index a963f35aeca5cd2f175a091b6cdf4cd6a361361c..e201c565c3ef2186a3ce87da5741e778c8c2e317 100644
--- a/src/Solvers/DESolver.cpp
+++ b/src/Solvers/DESolver.cpp
@@ -261,7 +261,7 @@ namespace lib4neuro {
for (size_t j = 0; j < derivative_degree; ++j) {
n_ptr2 = n_ptr;
- n_ptr = dynamic_cast<NeuronLogistic*>(n_ptr->get_derivative());
+ n_ptr = n_ptr->get_derivative();
if (j > 0) {
delete n_ptr2;