A New DEBP Algorithm and Its Application for Hematite Content Prediction

As an important instructional element for uranium mines, hematite plays a significant role in prospecting uranium mines. In this paper, we describe an efficient technique for adapting control parameter settings associated with DEBP algorithm, named self-adaptive DEBP algorithm, and apply self-adaptive DEBP algorithm to the prediction of hematite contents in typical alteration minerals of uranium deposits. Prediction results show that self-adaptive DEBP algorithm can improve the accuracy of prediction compared with DEBP and original BP algorithm.