نتایج جستجو برای: this study employs a gmdh neural network model

تعداد نتایج: 14627899  

Allahyar Daghbandan Hossein Ghanadzadeh, Mohammd Akbarizadeh

Isotactic poly (1-butene), ipbu-1, was synthesized by using a metallocene catalyst. The thermodynamic phase behavior of polymer–organic solvents systems is very important in every polymer application.  In this paper, the solid–liquid equilibrium of ipbu-1 with different organic solvents (1-heptyne, cyclo octane) was studied by a mathematical model. By considering the experiments temperature...

Journal: :international journal of optimaization in civil engineering 0
s. alimollaie s. shojaee

optimization techniques can be efficiently utilized to achieve an optimal shape for arch dams. this optimal design can consider the conditions of the economy and safety simultaneously. the main aim is to present an applicable and practical model and suggest an algorithm for optimization of concrete arch dams to enhance their seismic performance. to achieve this purpose, a preliminary optimizati...

Energy plays a significant role in today's developing societies. The role of energy demands to make decisions and policy with regard to its production, distribution, and supply. The vital importance of energy, especially fossil fuels, is a factor affecting agricultural production. This factor has a great influence on the production of agricultural products in Iran. The forecast of the con...

ژورنال: :چشم انداز مدیریت صنعتی 0
نظام الدین فقیه دانشگاه شیراز حبیب اله رعنایی کرد شولی دانشگاه شیراز علی محمدی دانشگاه شیراز علی حسین صمدی دانشگاه شیراز محمد هاشم موسوی حقیقی مرکز تحقیقات کشاورزی و منابع طبیعی فارس محمد غفورنیان دانشگاه شیراز

چکیده      در این پژوهش بااستفاده از تفکر سیستم­های پویا به مدل سازی ریاضی سیستم زنجیره تأمین ارتباط ثابت در شرکت مخابرات ایران پرداخته ایم و بدین منظور از اطلاعات موجود و مستند شرکت مخابرات ایران از سال 1384 تا 1391 و نتایج شبیه­سازی مدل پویایی­های سیستم تا سال 1404 استفاده کرده ایم. برای تجزیه و تحلیل و تعیین ماهیت سیستم، از مفهوم مدل سازی ریاضی سیستم­های پویا استفاده کردیم. نتایج مدل سازی نش...

2013
Hamid Abrishami Vida Varahrami

The difficulty in gas price forecasting has attracted much attention of academic researchers and business practitioners. Various methods have been tried to solve the problem of forecasting gas prices however, all of the existing models of prediction cannot meet practical needs. In this paper, a novel hybrid intelligent framework is developed by applying a systematic integration of GMDH neural n...

Journal: :journal of agricultural science and technology 2013
h. chu w. lu l. zhang

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...

Journal: Iranian Economic Review 2018

O ne of the key topics and the most important tools to determine the strengths, weaknesses, opportunities and threats of each organization and company is the evaluation the performance of organizational activities that rating and ranking follows the internal and external goals. In this regard insurance companies similarly are looking for evaluation of their branches through scoring, ...

Journal: :Int. J. Systems Science 2008
Józef Korbicz Marcin Mrugalski

This article deals with the problem of determination of the model uncertainty during the system identification via application of the self-organising group method of data handling (GMDH) neural network. In particular, the contribution of the neural network structure errors and the parameter estimates inaccuracy to the model uncertainty were presented. Knowing these sources and applying the Oute...

Journal: :پژوهش های جغرافیای طبیعی 0
علی نصیری مجتبی یمانی

estimation of pure runoff is a house virtually is complex and different methods of calculation have been proposed. modern methods of solving problems in river engineering and water homes and assess the flow method is used, is that the artificial network pattern of human brain neural network training process, while implementation of the internal relationships between the data and discover for ot...

Journal: :تحقیقات اقتصادی 0
غلامعلی شرزه ای دانشیار دانشکدة اقتصاد دانشگاه تهران مهدی احراری پژوهشگر اقتصادی دانشکدة اقتصاد دانشگاه تهران حسن فخرایی کارشناس ارشد اقتصاد محیط زیست دانشکدة اقتصاد دانشگاه تهران

conventionally, regression and time series analyses have been employed in modeling water demand forecasts. in recent years, the relatively new technique of neural networks (nns) has been proposed as an efficient tool for modeling and forecasting. the objective of this study is to investigate the relatively new technique of gmdh – type neural networks for the use of forecasting long – term urban...

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