A Neural Network Model of Blasting Parameter Design for Controlling Blasting Flying Rock

摘要

The relationship between blast results and its influence factors is multi-factor with multiobjective and such a relationship cannot be established accurately. However, the modern engineering blasting must have subtle objective especially controlling blasting flying rock and so on. A neural network model can be used to relate the multiple factors with multipile objective questions by establishing a neural network model between blast flying rock with blast parameters and by training the model using existing data. The model can offer reasonable blast design parameter according to different blast flying rock control demands. Simulation result indicated that the model can be applied to practical problems.