Research of coke ratio prediction based on concept lattice and genetic algorithm

Abstract

The concept lattice is adopted as a tool of attribute reduction to reduce the redundant factors affecting coke ratio in this paper. On this basis, in order to solve the blindness and random problems in the parameters of artificial selection in support vector machine (SVM), this paper adopts genetic algorithm to optimize the penalty parameter C, kernel… (More)

Topics

7 Figures and Tables

Slides referencing similar topics