The Application of Artificial Neural Networks to Blasting Engineering

摘要

The paper sets the presplitting blasting as a sample applying Artificial Neural Networks method to the scientific computing of blasting engineering parameters. Establish a three-layer neural network using Back Propagation algorithm after the various complicated factors have been Rough-set processed. Then train repeatedly on the basis of mounts of samples. Ultimately get the non-linear map relationship between presplitting blasting factors and decision-making parameters. A computing program based on Artificial Neural Networks algorithm has been built in this paper. Compared with other theoretical calculation or experiential formula through other engineering example inspection, the decision-making parameter got from the Artificial Neural Networks approaches more or is more suitable to the practical conditions as a valuable reference, so this method can well support scientific reference and optimizing routes as a result of considerably reducing errors got from experiential operation.