php-ml/docs/machine-learning/neural-network/multilayer-perceptron.md
2016-08-14 19:14:56 +02:00

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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)