نتایج جستجو برای: nerual networks
تعداد نتایج: 427584 فیلتر نتایج به سال:
Purpose: To identify the effects of social networks on the reading habits of students in Tehran SAMA high schools. Method: Data collection instrument was a questionnaire. A sample of 250 students, selected using Cochran formula, completed the questionnaire. Findings: Results showed that students daily class-related reading time was moderate (3/05). Daily non-class-related reading time was low...
Merging the adaptive networks with the free space optical (FSO) communication technology is a very interesting field of research because by adding the benefits of this technology, the adaptive networks become more efficient, cheap and secure. This is due to the fact that FSO communication uses unregistered visible light bandwidth instead of the overused radio spectrum. However, in spite of all ...
Abstract Link prediction in social networks is one of the most important activities in analysis of such networks. The importance of link prediction in social networks is due to its dynamic nature. While members and their relationships (links) in such networks are continuously increasing, links may be missed due to various reasons. By predicting such links, the possibility of extension, compl...
Energy constraint is the biggest challenge in wireless sensor networks because the power supply of each sensor node is a battery that is not rechargeable or replaceable due to the applications of these networks. One of the successful methods for saving energy in these networks is clustering. It has caused that cluster-based routing algorithms are successful routing algorithm for these networks....
background: prostate cancer is one of the most widespread cancers in men and is fundamentally a genetic disease. identifying regulators in cancer using novel systems biology approaches will potentially lead to new insight into this disease. it was sought to address this by inferring gene regulatory networks (grns). moreover, dynamical analysis of grns can explain how regulators change among dif...
this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...
the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.
in general, amount of sludge will definitely increase in near future and composting processes, optimum composting conditions and compost use as fertilizer and soil amendment will then be significant research topics. the present study was conducted for o2 parameter estimation by multiple regression and artificial neural networks methods. daily temperature, ch4, h2s, co2 and o2 measurements were ...
Background and Objectives: Access to virtual social networks is a growing phenomenon and an increasing number of adolescents join these networks everyday. The purpose of this study was to investigate the relationship between students' personality dimensions and the use of virtual social networks. Materials and Methods: The research design of this study was a correlation method. The popul...
this paper aimed to investigate the relationship between components of social capital (security, trust, social norms, social networks and participation in social activities) and physical activity participation among the adolescent students in yazd city. the statistical population of the study included adolescent students (14-17 years old) from yazd city. 382 adolescents were randomly selected t...
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