نتایج جستجو برای: artificialneural network

تعداد نتایج: 672072  

Background: Social network in older adults refers to the interpersonal relationships and the perception of these relationships. Given the importance of the social network, the current study was conducted to answer three pivotal questions. First, do personal and district factors affect the social network of the elderly? Second, how much share do the personal and district factors have in the soci...

The aim of this study is to analyze the status of Iranian scientific production in selected areas relating to science and information technology including information technology, management, and library and information science by scientometric and social network analysis indicators. This research has a look on the approach of the scientific outputs of Iranian scholars indexed in WOS database. I...

Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neu...

خرسندی, سیاوش, شکرنژاد, مسعود,

The challenging characteristics of Smart Grid such as the vast size of covered area and tight requirements of reliability (higher than 0.98) and delay (in terms of second and millisecond) impede the procedure of communication network designing. This paper investigates the problem of network designing subject to the reliability constraint. The main contribution is dividing the problem into two s...

Faults in computer networks may result in millions of dollars in cost. Faults in a network need to be localized and repaired to keep the health of the network. Fault management systems are used to keep today’s complex networks running without significant cost, either by using active techniques or passive techniques. In this paper, we propose a novel approach based on imperialist competitive alg...

Journal: :future of medical education journal 0
mehdi kahouei social determinant of health research center, nursing and allied health school, semnan university of medical sciences, semnan, iran zahra gholi zadeh student research committee, semnan university of medical sciences, semnan, iran fatemeh behkhooy student research committee, semnan university of medical sciences, semnan, iran

background: students often use social network sites and are willing to share information and communicate with teachers, colleagues and patients. despite the increase in the application of the social network sites as a tool for obtaining health knowledge, few studies have been conducted to evaluate the production and share of health information by rehabilitation students, especially in iran. the...

Journal: :اکو هیدرولوژی 0
محمد جواد زینلی دانشجوی دکتری منابع آب، گروه علوم و مهندسی آب، دانشگاه بیرجند سید رضا هاشمی استادیار گروه علوم و مهندسی آب، دانشگاه بیرجند

accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have been develop...

ژورنال: مدیریت سلامت 2019

Introduction: Due to the complexity of health services, which require the engagement of different parties for the provision of integrated services, inappropriate network governance models can lead to financial conflicts, lack of transparency of accountabilities for medical errors, and difficulties on multi-professional team working. Therefore, this study aimed to examine factors influencing the...

Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...

Journal: :energy equipment and systems 0
rahmat aazami faculty of engineering, ilam university, ilam, iran hassan monsef faculty of ece, university of tehran, tehran, iran

this paper proposes a new method for transmission loss allocation. the share of each bus in the transmission line losses is determined using transmission line loss equations with respect to bus-injected currents. then, it is applied to the total network transmission lines. in the proposed method, comparing with other methods, a solution to remove the negative loss allocation has been introduced...

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