نتایج جستجو برای: step neural network rmsnn

تعداد نتایج: 1073649  

Journal: :مهندسی صنایع 0
میثم نصرالهی دانشجوی دکتری مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران حسن مینا دانش آموخته ی کارشناسی ارشد مهندسی صنایع- پردیس دانشکده های فنی- دانشگاه تهران سید فرید قادری دانشیار دانشکده مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران رضا قدسی استادیار دانشکده مهندسی صنایع - پردیس دانشکده های فنی- دانشگاه تهران

ecological changes resulting from climate conditions can severely affect human societies especially in the area of economy and safety. climate catastrophes may cause social and economic tension. forecasting such changes accurately can help the government to control the disasters and to achieve possible benefits (such as water supply in flood). weather forecasting is the application of science a...

Journal: :geopersia 2013
mahdi rastegarnia ali kadkhodaie-ilkhchi

accurate permeability estimation has always been a concern in determining flow units, assigning appropriate capillary pressure andrelative permeability curves to reservoir rock types, geological modeling, and dynamic simulation.acoustic method can be used as analternative and effective tool for permeability determination. in this study, a four-step approach is proposed for permeability estimati...

Journal: :journal of chemical and petroleum engineering 2014
aliakbar heydari fazel dolati mojtaba ahmadi yasser vasseghian

in this study, activated sludge process for wastewater treatment in a refinery was investigated. for such purpose, a laboratory scale rig was built. the effect of several parameters such as temperature, residence time, effect of leca (filling-in percentage of the reactor by leca) and uv radiation on cod removal efficiency were experimentally examined. maximum cod removal efficiency was obtained...

Journal: :journal of oil, gas and petrochemical technology 2014
gholamreza bakeri maedeh delavar mohammad soleimani lashkenari

in this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. experimental data was divided into two parts (70% for training and 30% for testing). optimal configuration of the network was obtained with minimization of prediction error on testing data. the accuracy of our proposed model was compared with four well-known empirical equations. the arti...

Journal: :محیط زیست طبیعی 0
منصوره کارگر دانشکده منابع طبیعی دانشگاه علوم کشاورزی و منابع طبیعی ساری زینب جعفریان دانشیار دانشگاه علوم کشاورزی و منابع طبیعی ساری

natural fire inflicting irreparable damage to rangelands and forest areas is cause changes in landscape ecology. the purpose of this research is comparison of artificial neural network (ann) and line regression (lr) models to predict of forest and rangelands fires to this end, the data consist fire burned area and fire were used weather data over a period of 7 years (2006-2012(.the result indic...

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 journal of chemistry and chemical engineering (ijcce) 2010
najeh alali mahmoud reza pishvaie vahid taghikhani

production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...

Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...

2004
D. NAGESH KUMAR K. SRINIVASA

Forecasting a hydrologic time series has been one of the most complicated tasks owing to the wide range of data, the uncertainties in the parameters influencing the time series and also due to the non availability of adequate data. Recently, Artificial Neural Networks (ANNs) have become quite popular in time series forecasting in various fields. This paper demonstrates the use of ANNs to foreca...

Journal: :iranian journal of fuzzy systems 2014
maryam mosleh

in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...

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