The Artificial Neural Networks regroup several modeling techniques whose object is developing a system that could perform "intelligent" tasks miming those performed by the human brain. Like the latter, a neural network consists of neurons and connections between them. This network, during the training phase, can adjust the connection weights, by comparing its results with those that try to fit.
We have developed visualisation, classification and QSAR software based on two main neural network types:
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