A review of soft computing technology applications in several mining problems

被引：65

作者：

Jang, Hyongdoo ^{[1
]}

Topal, Erkan ^{[1
]}

机构：

[1] Curtin Univ, Dept Min Engn, Western Australian Sch Mines, Perth, WA, Australia

来源：

APPLIED SOFT COMPUTING | 2014年 / 22卷

关键词：

Soft computing; Mining method selection; Mining equipment selection; Rock mechanics; Blasting; UNCONFINED COMPRESSIVE STRENGTH; ARTIFICIAL NEURAL-NETWORK; ROCK MASS CLASSIFICATION; METHOD SELECTION; DECISION-MAKING; EXPERT-SYSTEM; FUZZY MODEL; INTELLIGENT APPROACH; DEFORMATION MODULUS; FLYROCK DISTANCE;

D O I：

10.1016/j.asoc.2014.05.019

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Soft computing (SC) is a field of computer science that resembles the processes of the human brain. While conventional hard computing is run based on crisp values and binary numbers, SC uses soft values and fuzzy sets. In fact, SC technology is capable of address imprecision and uncertainty. The application of SC techniques in the mining industry is fairly extensive and covers a considerable number of applications. This paper provides a comprehensive overview of the published work on SC applications in different mining areas. A brief introduction to mining and the general field of SC applications are presented in the first section of the paper. The second section comprises four review chapters. Mining method selection, equipment selection problems and their applications in SC technologies are presented in chapters one and two. Chapter three discusses rock mechanics-related subjects and some of representative SC applications in this field. The last chapter presents rock blasting related SC applications that include blast design and hazards. The final section of the paper comments on the use of SC applications in several mining problems and possible future applications of advanced SC technologies. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：638 / 651

页数：14

共 160 条

[41] A new approach to mining method selection based on modifying the Nicholas technique [J].