Application of artificial neural network technique to uranium logging data interpretation

The author describes the application of B-P technique to pertinent questions in uranium logging data interpretation. Adopting the improved B-P algorithm to establish network structure and thoroughly investigating the process, and the method constructing learning sample has been improved. Good results have been achieved through applying the B-P model to recognize lithologies and forecast porosity