in this paper we introduce the concept of weakly prime ternary subsemimodules of a ternary semimodule over a ternary semiring and obtain some characterizations of weakly prime ternary subsemimodules. we prove that if $n$ is a weakly prime subtractive ternary subsemimodule of a ternary $r$-semimodule $m$, then either $n$ is a prime ternary subsemimodule or $(n : m)(n : m)n = 0$. if $n$ is a $q$-...

This paper presents a continuous facility location model with fuzzy methodology. The developments concern mainly to some drawbacks in the initial model which takes it far from being used in practice. A fuzzy modeling method is proposed to estimate the required functions in the initial model. Structure identification in the proposed fuzzy modeling method is carried out using subtractive clusteri...

Two-degree-of-freedom (2-DOF) compliant mechanism has some outstanding characteristics in accurate positioning systems. Studying the fatigue life for 2-DOF is a meaningful task to ensure long working. However, study prediction of this not been conducted so far. In article, method developed first time. This combining differential evolution algorithm and adaptive neuro-fuzzy inference system (ANF...

Aiming at the complicated characteristic of rare earth extraction process and combining the material balance model, a multiple models modeling and control method is proposed. Based on the data collected in an industrial field, an improved subtractive clustering algorithm is employed to obtain steady operation points for the process; the recuresive least squares algorithm is adopted to identify ...

This paper describes a binocular vision-based pedestrian recognition System. The basic components of pedestrians are first located in the image and then combined with a SVM-based classifier. This poses the problem of pedestrian detection and recognition in real, cluttered road images. Candidate pedestrians are located using a subtractive clustering attention mechanism. A distributed learning ap...

Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. ...

Data mining has become an essential component in various fields of human life including business, education, medical and scientific. Cluster analysis is an important data mining technique used to find data segmentation and pattern recognition. This paper proposes the application of Fuzzy Subtractive Clustering (FSC) technique as an approach to define Big Five Patterns (B5P) using psychometric t...

The existence of recorded accelerograms to perform dynamic inelastic time history analysis is of the utmost importance especially in near-fault regions where directivity pulses impose extreme demands on structures and cause widespread damages. But due to the scarcity of recorded acceleration time histories, it is common to generate proper artificial ground motions. In this paper an alternative ...

BACKGROUND AND PURPOSE Differential gene expression has been reported following the onset of focal stroke. To identify de novo expression of ischemia-induced genes, we applied subtractive cDNA library strategy to identify the genes that are selectively upregulated by focal stroke. METHODS Spontaneously hypertensive rats were subjected to permanent occlusion of the middle cerebral artery (MCAO...

Support vector regression (SVR) is a learning method based on the support vector machine (SVM) that can be used for curve fitting and function estimation. In this paper, the ability of the nu-SVR to predict the catalytic activity of the Fischer-Tropsch (FT) reaction is evaluated and the result is compared with two other prediction techniques including: multilayer perceptron (MLP) and subtractiv...