Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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08230
Many maintenance-scheduling methods have been proposed using conventional mathematical programming methods or heuristic techniques. Heuristic approaches provide the most primitive solution based on trial-and-error approaches. Mathematical optimization based techniques are completely distinct from classical programming and trial-and-error heuristic methods. These techniques have been proposed to solve small maintenance scheduling problems. In this paper we explain the difference between both methods in solving generator maintenance scheduling (GMS) problem.
Dr. Al-Arfaj Klahid. 2012. \u201cA Survey of Generator Maintenance Scheduling Techniques\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 12 (GJRE Volume 12 Issue J1): .
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Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: Greece
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Dr. Al-Arfaj Klahid, Karamitsos Ioannis (PhD/Dr. count: 1)
View Count (all-time): 220
Total Views (Real + Logic): 5228
Total Downloads (simulated): 2827
Publish Date: 2012 04, Tue
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Neural Networks and Rules-based Systems used to Find Rational and
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Many maintenance-scheduling methods have been proposed using conventional mathematical programming methods or heuristic techniques. Heuristic approaches provide the most primitive solution based on trial-and-error approaches. Mathematical optimization based techniques are completely distinct from classical programming and trial-and-error heuristic methods. These techniques have been proposed to solve small maintenance scheduling problems. In this paper we explain the difference between both methods in solving generator maintenance scheduling (GMS) problem.
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