php-ml/docs/machine-learning/neural-network/multilayer-perceptron.md

MultilayerPerceptron

A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs.

Constructor Parameters

• $layers (array) - array with layers configuration, each value represent number of neurons in each layers
• $activationFunction (ActivationFunction) - neuron activation function

use Phpml\NeuralNetwork\Network\MultilayerPerceptron;
$mlp = new MultilayerPerceptron([2, 2, 1]);

// 2 nodes in input layer, 2 nodes in first hidden layer and 1 node in output layer 

Methods

• setInput(array $input)
• getOutput()
• getLayers()
• addLayer(Layer $layer)

Activation Functions

• BinaryStep
• Gaussian
• HyperbolicTangent
• Sigmoid (default)