Data mining method of BP artificial neural network and its application

The basic concept of data mining and its geological meaning are expounded. Also introduced are a data mining method of back-propagation artificial neural network and its learning algorithm, and application to the KDD and gold deposit forecast. BP neural network consists of input, hidden and output layers. The details of the layers of the examples are: (1) input layers are the chemical composition of magmatite, and output layers, the discern parameters of rock character, their application to the KDD and rock classification; (2) input layers are the prospecting indicator of structures, beds, altered rocks and gold anomaly (w (Au)gt;25×10-9), while the output is mineralization prevailing level to optimization of gold exploration target. Both examples have achieved good result.