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Multi-objective Geometric Programming Problem With Weighted Mean Method [PDF]
Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS February 2010, ISSN 1947 5500, http://sites.google.com/site/ijcsis/
Akshay Kumar Ojha, K. K. Biswal
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The (C, α) integrability of functions by weighted mean methods
Let p(x) be a nondecreasing continuous function on [0, ?) such that p(0) = 0 and p(t) ? ? as t ? ?. For a continuous function f (x) on [0, ?), we define s(t)= ?0t f(u)du and ?? (t) =?0t? (1- p(u)/p(t))? f(u)du. We say that a continuous function f (x) on [0, ?) is (C, ?) integrable to a by the weighted mean method determined by the ...
İbrahi̇m Çanak, Ümi̇t Totur
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Accurate modeling is an important aspect for a reliable design, control and optimization of proton exchange membrane (PEM) fuel cell. The mathematical model of PEM fuel cell involves a set of non-linear equations and is considered as multi-variate, multi-
Rahul Khajuria +3 more
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Image Compression in Spatial Domain: Weighted C-Mean Method
Objective: For reducing the data redundancy to save more hardware space and transmission bandwidth, data compression is used. Methods: For image compression, we have proposed a new method based on c-mean and absolute moment Block Truncation Coding (BTC) techniques. In this technique an image is segmented into several non-overlapping blocks.
Kartik Sau +2 more
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An Adaptive Image Inpainting Method Based on the Weighted Mean
Imaging inpainting is the process of digitally filling-in missing pixel values in images and requires carefully crafted image analysis tools. In this work, we propose an adaptive image inpainting method based on the weighted mean. The weighted mean is assessed to be better than the median because, for the case of the weighted mean, we can exclude the ...
Nguyen Hoang Hai +4 more
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A Weighted Mean Method of Averaging Bacterial Counts of Milk [PDF]
Joseph W. Bigger, Laura Griffiths
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Tauberian theorems for weighted means of double sequences in intuitionistic fuzzy normed spaces [PDF]
We define weighted mean summability method of double sequences in intuitionistic fuzzy normed spaces(IFNS), and obtain necessary and sufficient Tauberian conditions under which convergence of double sequences in IFNS follows from their weighted mean ...
Narayan Mishra Lakshmi +3 more
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Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy
Clustering validity function is an index used to judge the accuracy of clustering results. At present, most studies on clustering validity are based on single clustering validity function.
H. Y. Wang, J. S. Wang, G. Wang
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Criteria for Weighted Moving-Mean Method [PDF]
The moving-mean method is one of the conventional approaches for trend-extraction from a data set. It is usually applied in an empirical way. The smoothing degree of the trend depends on the selections of window length and weighted coefficients, which are associated with the change pattern of the data.
Shuo Jiang, Jinliang Wang
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Mean Error Rate Weighted Online Boosting Method
Abstract Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve an optimal prediction. To make use of boosting technique in online condition is
Nagaraj Honnikoll, Ishwar Baidari
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