MultiLayerPerceptron

##What is a Multilayer Perceptron?

"A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data
onto a set of appropriate output. An MLP consists of multiple layers of nodes in a directed graph, with each
layer fully connected to the next one. Except for the input nodes, each node is a neuron (or processing element)
with a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for
training the network. MLP is a modification of the standard linear perceptron and can distinguish data that
is not linearly separable."

##Training

for ($i = 0; $i < count($inputVectors); $i++){
    $mlp->train($inputVectors[$i], $outcomes[$i);
}

##Test an Input

echo $mlp->test($inputVector)? "True": "False";

##Example

$mlp = new \JTet\MultiLayerPerceptron\MultiLayerPerceptron(2);

$i = 0;
while($i < 100000)
{
    $input = array(0, 0);
    $output = array(0);
    $mlp->train($input, $output);

    $input = array(0, 1);
    $output = array(1);
    $mlp->train($input, $output);

    $input = array(1,0);
    $output = array(1);
    $mlp->train($input, $output);

    $input = array(1,1);
    $output = array(0);
    $mlp->train($input, $output);

    $i++;
}

echo $mlp->test(array(1,1))? "Incorrect\n": "Correct\n";
echo $mlp->test(array(0,1))? "Correct\n": "Incorrect\n";
echo $mlp->test(array(0,0))? "Incorrect\n": "Correct\n";
echo $mlp->test(array(1,0))? "Correct\n": "Incorrect\n";

##Getting MultiLayerPerceptron

Add the following to your composer.json file and run composer update.

"require": {
        "jtet/multilayerperceptron": "dev-master"
    }

##License MultiLayerPerceptron is available for your use under the OSL-3.0 license.

jtet/MultiLayerPerceptron

MultiLayerPerceptron