C++ grt::MLP类代码示例

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本文整理汇总了C++中grt::MLP类的典型用法代码示例。如果您正苦于以下问题：C++ MLP类的具体用法？C++ MLP怎么用？C++ MLP使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

在下文中一共展示了MLP类的20个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的C++代码示例。

示例1: set_activation_function

 void mlp::set_activation_function(int activation_function, mlp_layer layer)
 {
     if (grt_mlp.validateActivationFunction(activation_function) == false)
     {
         flext::error("activation function %d is invalid, hint should be between 0-%d", activation_function, GRT::Neuron::NUMBER_OF_ACTIVATION_FUNCTIONS - 1);
         return;
     }
     
     GRT::Neuron::ActivationFunctions activation_function_ = (GRT::Neuron::ActivationFunctions)activation_function;
     
     switch (layer)
     {
         case LAYER_INPUT:
             input_activation_function = activation_function_;
             break;
         case LAYER_HIDDEN:
             hidden_activation_function = activation_function_;
             break;
         case LAYER_OUTPUT:
             output_activation_function = activation_function_;
             break;
         default:
             ml::error("no activation function for layer: " + std::to_string(layer));
             return;
     }
     post("activation function set to " + grt_mlp.activationFunctionToString(activation_function_));
 }

开发者ID:FredVoisin，项目名称:ml-lib，代码行数:27，代码来源:ml_mlp.cpp

示例2: train

    // Methods
    // NOTE: ANN is special since it supports both regression and classification, we therefore override these methods
    void ann::train()
    {
        const data_type data_type = get_data_type();
        
        GRT::UINT numSamples = data_type == LABELLED_CLASSIFICATION ? classification_data.getNumSamples() : regression_data.getNumSamples();
        
        if (numSamples == 0)
        {
            flext::error("no observations added, use 'add' to add training data");
            return;
        }
        
        bool success = false;
        
        if (data_type == LABELLED_CLASSIFICATION)
        {
            grt_ann.init(
                     classification_data.getNumDimensions(),
                     num_hidden_neurons,
                     classification_data.getNumClasses(),
                     input_activation_function,
                     hidden_activation_function,
                     output_activation_function
                     );
            success = grt_ann.train(classification_data);
        }
        else if (data_type == LABELLED_REGRESSION)
        {
            grt_ann.init(
                     regression_data.getNumInputDimensions(),
                     num_hidden_neurons,
                     regression_data.getNumTargetDimensions(),
                     input_activation_function,
                     hidden_activation_function,
                     output_activation_function
                     );
            success = grt_ann.train(regression_data);
        }

        if (!success)
        {
            flext::error("training failed");
        }
        
        t_atom a_success;
        
        SetInt(a_success, success);
        ToOutAnything(1, get_s_train(), 1, &a_success);
    }

开发者ID:cmuartfab，项目名称:ml-lib，代码行数:51，代码来源:ml_ann.cpp

示例3: error

 void ann::error()
 {
     if (!grt_ann.getTrained())
     {
         flext::error("model not yet trained, send the \"train\" message to train");
         return;
     }
             
     float error_f = grt_ann.getTrainingError();
     t_atom error_a;
     
     SetFloat(error_a, error_f);
     
     ToOutAnything(0, get_s_error(), 1, &error_a);
                   
 }

开发者ID:cmuartfab，项目名称:ml-lib，代码行数:16，代码来源:ml_ann.cpp