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Toplam kayıt 102, listelenen: 1-10
Max Margin Polyhedral Conic Function Classifier
(IEEE, 2016)
In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the ...
SIMULATION MODEL FOR AUTOMATED MULTI-STAGE PRODUCTION LINES.
(Industrial Engineering & Management Press (Order n 257), Norcross, GA, USA, 1984)
Reliability and productivity calculations for multi-stage production flow lines with intermediate storage units are extremely complex. When scheduled maintenance is performed on production machines, the resulting models ...
Analyzing a Drum-Buffer-Rope scheduling system executability through simulation
(2007)
This study was carried out in a plastic workshop of a refrigerator factory to solve problems of excessive work in process. In order to provide synchronous manufacturing between Capacity Constrained Resources (CCR) and ...
Arrhythmia Classification via k-Means based Polyhedral Conic Functions Algorithm
(IEEE, 2016)
Heart disease is one of the important cause of death. In this study, we used ECG data obtained from MIT-BIH database to classify arrhythmias. We select 5 classes; normal beat (N), right bundle branch block (RBBB), left ...
Augmented Lagrangian Based Solution Method for One-Dimensional Cutting Stock and Assortment Problem
(Baku State University, Inst Applied Mathematics, 2018)
This paper is a continuation of the research on cutting problems given in [2]. The paper presents a mathematical model for a one-dimensional cutting stock and assortment problem and an augmented Lagrangian based solution ...
A Representation Theorem for Bishop-Phelps Cones
(Yokohama Publishers, 2017)
The paper presents a theorem for representation a given cone as a Bishop-Phelps cone in normed spaces and studies interior and separation properties for Bishop-Phelps cones. The representation theorem is formulated in the ...
Fuzzy (p)over-tilde control chart
(World Scientific Publ Co Pte LTD, 2008)
Control charts are very useful tool for monitoring and analyzing the processes. When the quality characteristics cannot be represented in numerical form, like softness, appearance, chapped, damaged, etc., control charts ...
A Fuzzy multiple objective decision model to select the significant qualty characteristics of a product
(2007)
Prioritization the significant quality characteristics are considerable area in quality planning process. All quality characteristics of a product can not be measured/ tested incoming department or production line due to ...
Fuzzy individual and moving range control charts with ?-cuts
(2008)
In Statistical Process Control (SPC), both variable and attribute control charts are widely used techniques to monitor and evaluate the process with respect to the related quality characteristics. In variable control charts, ...
How process factors affect ceramic tile color
(Amer Ceramic Soc, 2005)
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