نتایج جستجو برای: group method of data handling gmdh neural networks
تعداد نتایج: 21530440 فیلتر نتایج به سال:
The forward kinematic problem of parallel robots is always considered as a challenge in the field of parallel robots due to the obtained nonlinear system of equations. In this paper, the forward kinematic problem of planar parallel robots in their workspace is investigated using a neural network based approach. In order to increase the accuracy of this method, the workspace of the parallel robo...
Justyna PATALAS_MALISZEWSKA, Tadeusz KRUPA THE MULTICRITERIA SELECTION METHODOLOGY OF THE DECISION SUPPORT SYSTEM Abstract: An issue of building a tool orientated to the support of selection process of decision support system (DSS) for the sector of small and medium enterprises is presented in the article. A group method of data handling (GMDH) whose application allows to objectives a search pr...
abstract the main purpose of this study was to investigate whether there was any significant difference between the speaking achievement of learners who were trained by means of consciousness raising of sociolinguistic skills and that of learners who were trained without the above mentioned task. the participants of this study consist of 60 intermediate level students participating languag...
Prediction of building energy consumption plays an important role in conservation, management, and planning. Continuously improving enhancing the performance forecasting models is key to ensuring sustainability systems. In this connection, current paper presented a new improved hybrid model machine learning application for cooling load (CL) heating (HL) residential buildings after studying anal...
It is feared that the increasing population of vehicles in the world and the depletion of fossil-based fuel reserves could render transportation and other activities that rely on fossil fuels unsustainable in the long term. Concerns over environmental pollution issues, the high cost of fossil-based fuels and the increasing demand for fossil fuels has led to the search for environmentally friend...
عملکرد دو روش arima و شبکه عصبی gmdh در پیش بینی تقاضای گاز طبیعی در بخش های مختلف (ایران-1380-1389)
باتوجه به افزایش روزافزون مصرف گاز طبیعی، برنامه ریزی در بخش گاز طبیعی و بررسی و پیش بینی تقاضای گاز طبیعی جهت دستیابی به امنیت عرضه انرژی گاز طبیعی و به دنبال آن توسعه پایداراهمیت فراوانی دارد. از این رو در این تحقیق تقاضای گاز طبیعی در بخش های خانگی-تجاری، صنعت و نیروگاه که جزء مصرف کنندگان عمده گاز طبیعی هستند مورد بررسی قرار گرفته و از دو روش arima (autoregressive integrated moving average)...
When fluids flow into the pipes, materials in them cause deposits to form inside pipes over time, which is a threat efficiency of equipment and their depreciation. In present study, method for detecting volume percentage two-phase by considering presence scale test pipe presented using artificial intelligence networks. The non-invasive works such way that detector located on one side absorbs ph...
In this study, the relationship between space mean speed (SMS), flow rate and density of pedestrians was investigated in different pedestrian facilities, including 1 walkway, 2 sidewalks, signalized crosswalks mid-block crosswalks. First, statistical analysis performed to investigate normality data correlation variables. Regression then applied determine SMS, rate, pedestrians. Finally, two pre...
Geographically distributed and time-phased ecological and socio-economical indices are treated as source data for the analysis, carried out for taking reasoned management decision. Analysis complexity, related to multi-dimensional data is overcome thanks to using group methods of data handling (GMDH). This work shows the results of Ukraine's regions cluster analysis by the totality of ecologica...
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