Changed the structure and Connections, Neurons and Neural networks to be more...

Changed the structure and Connections, Neurons and Neural networks to be more clean and better suited for solving differential equations

Adjusted the class DESolver to account for the changes

src/tests/Connection_test.cpp

-/**
- * DESCRIPTION OF THE CLASS
- *
- * @author David Vojtek
- * @date 2018
- */
-
-#define BOOST_TEST_NO_MAIN
-
-#include <boost/test/unit_test.hpp>
-
-
-#include "../NetConnection/Connection.h"
-#include "../NetConnection/ConnectionWeight.h"
-#include "../Neuron/NeuronLinear.h"
-#include <iostream>
-/**
- * Boost testing suite for testing Connection.h
- */
-
-BOOST_AUTO_TEST_SUITE(Connection_test)
-
-    /**
-     * Test of constructor of Connection
-     */
-    BOOST_AUTO_TEST_CASE(Connection_construction__test) {
-
-        Neuron *neuron1 = new NeuronLinear(2, 3);
-        Neuron *neuron2 = new NeuronLinear(4, 5);
-        std::vector<double> w_array = {2, 3, 4, 5, 6};
-
-        ConnectionWeight *conn = new ConnectionWeight(2, &w_array);
-        Connection connection(neuron1, neuron2, conn);
-        //Test of correct input neuron
-        BOOST_CHECK_EQUAL(neuron1, connection.get_neuron_in());
-        //Test of correct output neuron
-        BOOST_CHECK_EQUAL(neuron2, connection.get_neuron_out());
-    }
-
-    /**
-     * Test of pass_signal method
-     */
-    BOOST_AUTO_TEST_CASE(Connection_pass_signal_test) {
-
-        Neuron *neuron1 = new NeuronLinear(2, 3);
-        Neuron *neuron2 = new NeuronLinear(4, 5);
-        std::vector<double> w_array = {2, 3, 4, 5, 6};
-        std::function<double(double *, int *, int)> f = [](double *weight_array, int *index_array, int n_params) {
-            double a = weight_array[0];
-            double b = weight_array[1];
-            return (a + 1.5 * b);
-        };
-
-
-        ConnectionWeight *conn = new ConnectionWeight(2, &w_array);
-
-        Connection connection(neuron1, neuron2, conn);
-
-        neuron1->activate();
-        neuron2->activate();
-        // test of neuron state before passing signal
-        BOOST_CHECK_EQUAL(4, neuron2->get_state());
-        connection.pass_signal();
-        neuron2->activate();
-        // test of neuron state after passing signal
-        BOOST_CHECK_EQUAL(7204, neuron2->get_state());
-
-    }
-
-
-BOOST_AUTO_TEST_SUITE_END()
\ No newline at end of file

src/tests/NeuronLogistic_test.cpp

@@ -44,11 +44,11 @@ BOOST_AUTO_TEST_SUITE(neuronLogistic_test)
         NeuronLogistic neuron(3.0, 2.0);
 
         //Test of correct output of activation_function_get_derivative method
-        BOOST_CHECK_CLOSE(0.00447566759338, neuron.activation_function_eval_derivative(), 0.00001);
+        BOOST_CHECK_CLOSE(0.0042850850699, neuron.activation_function_eval_derivative(), 0.00001);
         //Tests of correct outputs of activation_function_get_partial_derivative method
-        BOOST_CHECK_CLOSE(-0.0036025788498, neuron.activation_function_eval_partial_derivative(0), 0.00001);
-        BOOST_CHECK_CLOSE(-0.0044756675933, neuron.activation_function_eval_partial_derivative(1), 0.00001);
+        BOOST_CHECK_CLOSE(-0.0068569236644, neuron.activation_function_eval_partial_derivative(0), 0.00001);
+        BOOST_CHECK_CLOSE(-0.0042850850699, neuron.activation_function_eval_partial_derivative(1), 0.00001);
         BOOST_CHECK_EQUAL(0.0, neuron.activation_function_eval_partial_derivative(10000));
     }
 
-BOOST_AUTO_TEST_SUITE_END()
\ No newline at end of file
+BOOST_AUTO_TEST_SUITE_END()

src/tests/NeuronTanh.cpp

-/**
- * DESCRIPTION OF THE CLASS
- *
- * @author David Vojtek
- * @date 2018
- */
-
-#define BOOST_TEST_NO_MAIN
-
-#include <boost/test/unit_test.hpp>
-
-#include "../Neuron/NeuronTanh.h"
-/**
- * Boost testing suite for testing NeuronTanh.h
- * doesn't test inherited methods
- */
-BOOST_AUTO_TEST_SUITE(neuronTanh_test)
-
-    /**
-     * Test of creating new instance of NeuronTanh
-     */
-    BOOST_AUTO_TEST_CASE(neuronTanh_construction__test) {
-        NeuronTanh neuron(1.745);
-        //Test of correct value of activation function parameter
-        BOOST_CHECK_EQUAL(neuron.activation_function_get_parameter(0), 1.745);
-    }
-
-    /**
-     * Test of activate method
-     */
-    BOOST_AUTO_TEST_CASE(neuronTanh_activate__test) {
-        NeuronTanh neuron(2.0);
-        neuron.activate();
-        //Test of correct state after activate neuron
-        BOOST_CHECK_CLOSE(-0.96402758007581, neuron.get_state(), 0.00001);
-    }
-
-    /**
-    * Test of derivative methods
-    */
-    BOOST_AUTO_TEST_CASE(neuronTanh_derivative_test) {
-        NeuronTanh neuron(2.0);
-
-        //Test of correct output of activation_function_get_derivative method
-        BOOST_CHECK_CLOSE(-0.0706508248531644, neuron.activation_function_eval_derivative(), 0.00001);
-        //Tests of correct outputs of activation_function_get_partial_derivative method
-        BOOST_CHECK_CLOSE(-0.0706508248531644, neuron.activation_function_eval_partial_derivative(0), 0.00001);
-        BOOST_CHECK_EQUAL(0.0, neuron.activation_function_eval_partial_derivative(10000));
-    }
-
-BOOST_AUTO_TEST_SUITE_END()
\ No newline at end of file