نتایج جستجو برای: subtractive clustering method

تعداد نتایج: 1708743  

Estimation of roadheader performance is one of the main topics in determining the economics of underground excavation projects. The poor performance estimation of roadheader scan leads to costly contractual claims. In this paper, the application of soft computing methods for data analysis called adaptive neuro-fuzzy inference system- subtractive clustering method (ANFIS-SCM) and artificial  neu...

Journal: :Mathematical Problems in Engineering 2021

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...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :Optics Express 2021

Realization of a multilayer photonic process, as well co-integration large number and electronic components on single substrate, presents many advantages over conventional solutions opens pathway for various novel architectures applications. Despite the potential advantages, realization complex process compatible with low-cost CMOS platforms remains challenging. In this paper, platform is inves...

2013
Hojjat Allah Bazoobandi Mahdi Eftekhari

This paper proposes an effective memetic Gravitational Search Algorithm (GSA) that utilizes Solis and Wets’ (SW) algorithm as local search. GSA has good exploration ability and SW helps to improve the exploitation ability of the memetic algorithm. Furthermore, a selection strategy is proposed to select suitable individuals for local refinement that is based on subtractive clustering. Proposed m...

2017
Iman Mansouri Ozgur Kisi Pedram Sadeghian Chang-Hwan Lee Jong Wan Hu

This paper investigates the effectiveness of four different soft computing methods, namely radial basis neural network (RBNN), adaptive neuro fuzzy inference system (ANFIS) with subtractive clustering (ANFIS-SC), ANFIS with fuzzy c-means clustering (ANFIS-FCM) and M5 model tree (M5Tree), for predicting the ultimate strength and strain of concrete cylinders confined with fiber-reinforced polymer...

2006
Evaggelos Spyrou George Koumoulos Yannis S. Avrithis Stefanos D. Kollias

This paper presents a framework for the detection of semantic features in video sequences. Low-level feature extraction is performed on the keyframes of the shots and a “feature vector” including color and texture features is formed. A region “thesaurus” that contains all the high-level features is constructed using a subtractive clustering method.Then, a “model vector” that contains the distan...

Journal: :Informatica, Lith. Acad. Sci. 2014
Paris A. Mastorocostas Constantinos S. Hilas

An application of fuzzy modeling to the problem of telecommunications time-series prediction is proposed in this paper. The model building process is a two-stage sequential algorithm, based on Subtractive Clustering (SC) and the Orthogonal Least Squares (OLS) techniques. Particularly, the SC is first employed to partition the input space and determine the number of fuzzy rules and the premise p...

Journal: :Mobile Networks and Applications 2021

Ultra-dense networks (UDNs) are considered as key 5G technologies. They provide mobile users a high transmission rate and efficient radio resource management. However, UDNs lead to the dense deployment of small base stations (BSs) that can cause stronger interference subsequently increase handover management complexity. At present, conventional triggering mechanism user equipment (UE) is only d...

some applications are critical and must designed Fault Tolerant System. Usually Voting Algorithm is one of the principle elements of a Fault Tolerant System. Two kinds of voting algorithm are used in most applications, they are majority voting algorithm and weighted average algorithm these algorithms have some problems. Majority confronts with the problem of threshold limits and voter of weight...

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