نتایج جستجو برای: fuzzy c mean

تعداد نتایج: 1666426  

2014
Vinod Kumar Kanwal Garg Vijay Kher

Asian Countries like India, Pakistan, Bhutan, Bangladesh, Nepal and Sri Lanka are having their approximate total population of more than 1,500 million. In spite of enormous diversity in their demographic information, there are number of similar parameters causing to cancer. Oral cancer and lung cancer in males are noted as a few numbers, depending on its registry [15]. Uncontrolled cell progres...

Journal: :تحقیقات کاربردی خاک 0
ایمان صالح دانشگاه علوم کشاورزی و منابع طبیعی ساری عطااله کاویان دانشگاه علوم کشاورزی و منابع طبیعی ساری زینب جعفریان دانشگاه علوم کشاورزی و منابع طبیعی ساری رضا احمدی دانشگاه علوم کشاورزی و منابع طبیعی ساری

infiltration plays an important role in surface and subsurface hydrology and it is a key factor in the rainfall and runoff equations. the use of new approaches that have no limitations of common theoretical and empirical methods to determine infiltration relationships, will minimize the necessity of time consuming and costly experiments to determine permeability values and will make it possible...

2015
Guiwu Wei

In this paper, we investigate the multiple attribute decision making (MADM) problems with fuzzy linguistic information. Motivated by the ideal of generalized Bonferroni mean, we develop the generalized fuzzy linguistic Bonferroni Mean (GFLBM) operator for aggregating the fuzzy linguistic information. For the situations where the input arguments have different importance, we then define the gene...

2014
R. Vijayarajan S. Muttan

Image fusion is a method of imparting all relevant and complementary image details into a single composite image extracted from images of same source or various sources. This paper proposes a fusion method based on segmented regions of source images which are obtained by a fuzzy C-Means clustering algorithm. Robust clustering is exhibited by Fuzzy C-means algorithm by assigning fuzzy membership...

2012
Emrah Bulut Shigeru Yoshida

In this study, a fuzzy integrated logical forecasting method (FILF) is extended for multi-variate systems by using a vector autoregressive model. Fuzzy time series forecasting (FTSF) method was recently introduced by Song and Chissom [1]-[2] after that Chen improved the FTSF method. Rather than the existing literature, the proposed model is not only compared with the previous FTS models, but al...

2012

In this study, a fuzzy integrated logical forecasting method (FILF) is extended for multi-variate systems by using a vector autoregressive model. Fuzzy time series forecasting (FTSF) method was recently introduced by Song and Chissom [1]-[2] after that Chen improved the FTSF method. Rather than the existing literature, the proposed model is not only compared with the previous FTS models, but al...

2003
Xiang Li Lihong Li Hongbing Lu Dongqing Chen Zengrong Liang

Abstract: Segmentation of magnetic resonance (MR) images plays an important role in quantitative analysis of brain tissue morphology and pathology. However, the inherent effect of image-intensity inhomogeneity renders a challenging problem and must be considered in any segmentation method. For example, the adaptive fuzzy c-mean (AFCM) image segmentation algorithm proposed by Pham and Prince can...

2013
M. Krishnamoorthi

Clustering task aims at the unsupervised classification of patterns in different groups. To enhance the quality of results, the emerging swarm-based algorithms now-a-days become an alternative to the conventional clustering methods. In this study, an optimization method based on the swarm intelligence algorithm is proposed for the purpose of clustering. The significance of the proposed algorith...

2014
Xianglin ZHU Xiaofu JI

In order to overcome the difficulties of online measurement of some crucial biochemical variables in fermentation processes, a new soft sensor modeling method is presented based on the Gaussian process regression and fuzzy C-mean clustering. With the consideration that the typical fermentation process can be distributed into 4 phases including lag phase, exponential growth phase, stable phase a...

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