The Application of the Maximum and Minimum Ant System Neural Network in the Calculation of Hydraulic Gradient for Paste Pipeline Transportation

4th International Conference on Applied Materials and Manufacturing Technology

材料科学;机械制造

He, Rongjun^1 ; Zhang, Li^1

ChongQing Vocational Institute of Engineering, ChongQing

402260, China^1

关键词: Ant colony algorithms;    BP neural networks;    Hydraulic gradients;    Mining systems;    Paste fillings;    Pipe-line transportations;    Prediction model;    Treatment systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/423/1/012006/pdf
DOI  :  10.1088/1757-899X/423/1/012006

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Hydraulic gradient is an important parameter in the design of paste underground treatment system, which determines the energy consumption and operation cost. In order to grasp the accurate result of hydraulic gradient, we apply the MMAS-BP neural network to the calculation of hydraulic gradient, clarify the basic idea and establish the prediction model of hydraulic gradient. The practical application shows that the model has the fastest convergence and global nature of the maximum and minimum ant colony algorithm, and has strong mapping effect of BP neural network. The result fully meets the practical application needs, and provides an important method for paste filling mining system design.