CDT-Model

Clustered Data Table - Model is an artificial neural network model which consists of only one hidden layer with a single perceptron. Although common artificial neural networks with a single perceptron are not able to learn the data which are not linearly seperable such as XOr problem this model can learn any type of data. The way it does so, is to adjust activation functions of output nodes and dynamically update weights according some mathematical formula.

Example

You can see how easy it is to create the model and learn the XOr dataset.

#include <iostream>
#include "cdt.hpp"

using namespace std;

int main(int argc, char* argv[]){

    DataSet xor("xor.csv");
    xor.shuffle();
    vector<DataSet> datasets=xor.split({70,30});

    CDT model;

    model.train(datasets[0], 2);
    model.test(datasets[1])<<endl;

    return 0;
}