The MLP is based on the supervised procedure (Figure 1), that is, the network builds a model based on examples in data with known outputs. A relation between problem and solution may be quite general, for example, the simulation of species richness or the abundance of animal (output) expressed by the quality of habitat (input).
- Figure 1 Schematic of three-layered feedforward neural network, with one input layer, one hidden layer, and one output layer.
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