Study On The Application Of Rough Set-Neural Network Intelligent System In Flotation Process

Mechanism model of flotation process based on some hypotheses is limited in the application for flotation process, since the flotation process is complex and dose not satisfy these hypotheses condition in industrial condition. Focusing on this problem, this paper combines of artificial neural networks (ANN) and rough set (RS) theory to model the flotation industry process by integrating data pretreatment method with soft sensors model to flotation technology. The paper explores the modeling and intelligent optimization of flotation process. The main contents of the paper are as follows:(1) The paper first Introduce the technical flow of cation anti-flotation process of mill factory in GongChangLing mining company of AnGang group and makes a detailed systematic analysis to flotation process. The paper discusses the actuality of automatic control of flotation process and summarizes the research on theory and application of RS theory, ANN and intelligent system.(2) The paper studies the data pretreatment technique of the intelligent system before modeling. Believing region of the sample data set is got by using fuzzy C-means clustering algorithm and linear regression method in order to eliminate bad sample data. Control chart method is used to supervise real-time data from flotation process and provides good input data for optimal control of the flotation process.(3) Based on detailed research on flotation process and influence of operation conditions on flotation technology, the paper chooses proper assistant variables for economy-technology index (extractive ore grade and flotation callback ratio) soft sensors model of flotation process. The paper adopts principal component analysis (PCA) method and radial basis function (RBF) neural network technology to build the soft sensors model. The PCA algorithm is used to deduce the input dimension of RBF neural networks and predigest model complexity. The RBF neural network is trained by the nearest neighbor-clustering algorithm.(4) A medicament dosage model of flotation process based on rough set theory and neural networks is proposed in this paper. It is compared with the medicament dosage model based on rough control theory. The flotation process intelligent control system based on the economy-technology index soft sensors model and the medicament addition model is used in the practice production of mill factory of GongChangLing mining company and A better application result is obtained.