C++ (Cpp) MultilayerPerceptron::set示例

示例#1

void TestObjectiveFunctional::test_calculate_independent_parameters_gradient_central_differences(void)
{
   message += "test_calculate_independent_parameters_gradient_central_differences\n";

   MultilayerPerceptron mlp;
   MockObjectiveFunctional mof(&mlp);

   int independent_parameters_number;
   Vector<double> independent_parameters_gradient;

   // Test 

   mlp.set();
   independent_parameters_number = mlp.get_independent_parameters_number();   
   independent_parameters_gradient = mof.calculate_independent_parameters_gradient_central_differences();
   assert_true(independent_parameters_gradient.get_size() == independent_parameters_number, LOG);

   // Test 

   mlp.set(1,1,1);
   independent_parameters_number = mlp.get_independent_parameters_number();
   independent_parameters_gradient = mof.calculate_independent_parameters_gradient_central_differences();
   assert_true(independent_parameters_gradient.get_size() == independent_parameters_number, LOG);

   // Test 

   mlp.set(1);
   independent_parameters_number = mlp.get_independent_parameters_number();
   independent_parameters_gradient = mof.calculate_independent_parameters_gradient_central_differences();
   assert_true(independent_parameters_gradient.get_size() == independent_parameters_number, LOG);
}

示例#2

void TestEvolutionaryAlgorithm::test_set_default(void)
{
   message += "test_set_default\n";

   MultilayerPerceptron mlp;
   MockObjectiveFunctional mof(&mlp);
   EvolutionaryAlgorithm ea(&mof);

   // Test
   
   ea.set_default();
   assert_true(ea.get_population_size() == 0, LOG);

   // Test

   mlp.set(1);
   ea.set_default();
   assert_true(ea.get_population_size() == 10, LOG);
}