Grade Evaluation Based on Fuzzy Clustering and Pattern Recognition of Comprehensive Anomalies of Geophysics and Geochemistry Exploration
According to the assessment of the fuzzy cluster method for the comprehensive anomalies in confirmed area, Using the fuzzy clustering method to build the model which can evaluate the anomaly. By learning to build the recognition system based on the artificial neural network theory, the authors complete the evaluation of the complex comprehensive anomalies of geophysics and geochemistry exploration after pattern recognize for the unknown comprehensive anomalies. The examples show that the method is reasonable and feasible.