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Neural Network

Jelle Spijker edited this page Jun 19, 2015 · 2 revisions

Neural Network

The used Neural Network is a a network of interconnected neurons, called a multi-layer perceptor MLP. This type of neural network has one input layer, one or more hidden layers and an output layer. Each neuron consist of a summation function that is fed into a sigmoid threshold function. If the threshold is reached the output together with a weight acts as a input for the following layer.

The current class defined in the SoilMath namespace, has to be created as an object. This object consist of a number of number of input layers with a bias neuron, one hidden layer with a bias neuron, and a output layer. For each layer an equal amount of weights are defined.

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