Neural networks are among the most commonly used machine learning algorithms
Artificial Neural Networks or ANN are a machine learning algorithm inspired by biological neurons. They are typically organised in layers of nodes (neurons): an input layer (independent variables), hidden layers and an output layer (dependent variable). The nodes of one layer are connected to the nodes of the adjacent layers.
The neuralnet function implemented in XLSTAT-R is a supervised version of ANN and calls the neuralnet function from the neuralnet package in R (Stefan Fritsch, Frauke Guenther).
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