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Expert Reasoning Models Applied to Mine Geologic Data.

Authors
King-RL
Source
Proc 8th W V u Int'l Mining Electrotechnology Conf Morgantown West Virginia, 7/30-8/1/86 PP 69-73 u:69-73
Link
NIOSHTIC No.
10005938
Abstract
The Bureau of Mines has been involved with gathering and interpreting geologic data for 75 years. This experience has led to a high level of expertise within the Bureau and a desire to make it more accessible to the mining industry. With the recent advances in the field of artificial intelligence over the past few years, it has become more feasible to consider transferring knowledge to computers. Knowledge-based expert systems, the most active branch of artificial intelligence today, are computer programs that seek to combine a knowledge base of domain facts with expert-level decision making to arrive at a plausible solution(s) to a problem. This paper examines some of the expert-level decision-making models or "inexact reasoning" processes to determine their applicability to mine geologic data. The paper describes two models that are available for this task and gives examples of applying these models to mine geologic data.
Publication Date
19860101
Document Type
OP;
Fiscal Year
1986
NTIS Accession No.
NTIS Price
Identifying No.
OP 33-88
NIOSH Division
PRC;
Source Name
Proc. 8th W.v.u. Int'l Mining Electrotechnology Conf. Morgantown, West Virginia, 7/30-8/1/86, PP. 69-73
State
WV;
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