نتایج جستجو برای: time series pattern

تعداد نتایج: 2401386  

Journal: :journal of computer and robotics 0
sahifeh poor ramezani kalashami faculty of engineering, department of artificial intelligence, mashhad branch, islamic azad university, mashhad, iran seyyed javad seyyed mahdavi chabok faculty of engineering, department of artificial intelligence, mashhad branch, islamic azad university, mashhad, iran

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

Journal: :journal of advances in computer research 2014
haleh nazari homayun motameni babak shirazi

since the pioneering work of zadeh, fuzzy set theory has been applied to amyriad of areas. song and chissom introduced the concept of fuzzy time series andapplied some methods to the enrolments of the university of alabama. thereafter weapply fuzzy techniques for system identification and apply statistical techniques tomodelling system. an automatic methodology framework that combines fuzzytech...

Journal: :journal of mining and environment 2016
m. mohseni m. ataei

in this work, the time series modeling was used to predict the tazareh coal mine risks. for this purpose, initially, a monthly analysis of the risk constituents including frequency index and incidence severity index was performed. next, a monthly time series diagram related to each one of these indices was for a nine year period of time from 2005 to 2013. after extrusion of the trend, seasonali...

Journal: :modeling and simulation in electrical and electronics engineering 2015
abbas koochari mohsen soryani

despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

ژورنال: بیماری های پستان 2021

Introduction: Breast cancer is the most common cancer and the second leading cause of death in women worldwide. The aim of this study was to analyze the trend and predict the incidence of breast cancer using time series analysis. Methods: In this study, data on breast cancer incidence in Qazvin province between 2007 and 2016 were analyzed using time series analysis with autoregressive integrate...

ژورنال: پژوهش های ریاضی 2022

Multivariate time series data, often, modeled using vector autoregressive moving average (VARMA) model. But presence of outliers can violates the stationary assumption and may lead to wrong modeling, biased estimation of parameters and inaccurate prediction. Thus, detection of these points and how to deal properly with them, especially in relation to modeling and parameter estimation of VARMA m...

Extended Abstract 1- Introduction Nowadays, forecasting and modeling the rainfall-runoff process is essential for planning and managing water resources. Rainfall-Runoff hydrologic models provide simplified characterizations of the real-world system. A wide range of rainfall-runoff models is currently used by researchers and experts. These models are mainly developed and applied for simulation...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی امیرکبیر(پلی تکنیک تهران) - دانشکده ریاضی و کامپیوتر 1387

در این پایان نامه، کلاسی از مدل های متلاطم تشریح شده که توسط مدل های رگرسیو با اندیس تولید می شوند. هر سری زمانی رفتار ویژه خاص خود را دارند و با استفاده از تکنیک های سری های زمانی استاندارد موجود نمی توانند مدل بندی شوند.این یک پدیده در بسیاری از سری های زمانی از جمله سریهای اقتصادی می باشد. از این جهت تابع خودهمبستگی و چگالی طیفی برای بسیاری از سری های مختلف رفتاری مشابه دارند و لذا برای سری ...

Journal: :آب و خاک 0
فتحی فتحی محمدی محمدی همایی همایی

abstract prediction of input flow into water resources is regarded as one of the most important issues in optimum planning and management in producing electro-water energy and optimum allocation of water into different consumption sources. different parameters affect on input discharge into dams. climate variables including temperature and rainfall have the most effect on input runoff rate to w...

Journal: :International Journal of Information Technology and Decision Making 2013
Ling Tang Lean Yu Fangtao Liu Weixuan Xu

491 In this paper, an integrated data characteristic testing scheme is proposed for complex time series data exploration so as to select the most appropriate research methodology for complex time series modeling. Based on relationships across di®erent data characteristics, data characteristics of time series data are divided into two main categories: nature characteristics and pattern character...

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