نتایج جستجو برای: benchmarking of time series
تعداد نتایج: 21284991 فیلتر نتایج به سال:
the sales proceeds are the most important factors for keeping alive profitable companies. so sales and budget sales are considered as important parameters influencing all other decision variables in an organization. therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. in this research a coherent so...
Bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. Many computational algorithms have been applied for solving the sequence alignment problem. Dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods appli...
چکیده اهمیت اشیاء در نگاه انسان از آغاز پیدایش در زندگی جریان داشته و تاکنون نیز ادامه دارد. ساخت اشیاء از انواع کاربردی و آئینی آغاز و تا انواع الکترونیکی آن به همزیستی مسالمت آمیزی با انسان منتهی گشته است. حال اینکه این همزیستی در هر دوره ای از تاریخ چگونه خودنمایی می کند از اهمیت بسیاری برخوردار است.این رساله به بررسی موقعیت شی از جنبه های زیبایی شناسی، هویت مداری، نمادگرایی، جامعه شناسی ...
Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detection has recently become a promising security mechanism. However, since flows do not provide any information on the content of a communication, it also became more difficult to establish a ground truth for flowbased techniques ben...
In 2004 the Australian Flexible Learning Framework developed a suite of quantitative and qualitative indicators on the uptake, use and impact of e-learning in the Vocational Education and Training (VET) sector. These indicators were used to design items for a survey to gather quantitative data for benchmarking. A series of four surveys gathered data from VET providers, teachers, students and th...
this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...
Best practice benchmarking (benchmarking for short) generally refers to the pursuit by organizations of enhanced performance by learning from the successful practices of others. Comparisons of key processes which contribute to organizational success are made – with other parts of the same organization; competitors; or organizations operating comparable processes in a context which is in some wa...
introruction khawf in(iran)-herat and mazaresharif and shirkhan bandar in (afghanistan)-dushanbe in (tajikistan)_(kirgizstan)-kashghar in(china) project railway network is under construction that it is as a significant corridor for revitalizing silk road corridor in the region .at the present there are three different gauge in the region central asia with 1,520 mm gauge and turkey-islamic repu...
Forecasting of sea level fluctuations is a suitable tool for comprehensive management of the sea and the protection of coastal areas. On the other hand, application of time series analysis for forecasting purposes has been evaluated to be very appropriate. Therefore, two time series consisting monthly measured sea level data were used in the present research. The data have been recorded at two ...
hydrologists have always tried to classify atmospheric and hydrologic events in order to simplify the hydrologic convolutions and the observations or to save the time and the budget. most of these methods are used for the regionalization of hydrologic phenomena like rainfall,streamflow and other components of water cycle.multivariate techniques have been underlined as suitableand powerful tools...
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