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2.3. Artificial neural network (ANN)The ANN is a computational algorithm inspired by biological neural networks and their connections and learning capability. The basic structure of the network is the artificial neuron, which realizes a weighted and biased multiple linear regression that can be applied to a non-linear or activation function. These neurons are, in classical form, organized in layers and the adjacent layers are fully connected but not connected to other layers, resulting in a multilayer feed-forward network. Each ANN is composed of at least three layers: the input, hidden and output layers (Haykin, 2008).
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