نتایج جستجو برای: artificial neural network model
تعداد نتایج: 2887171 فیلتر نتایج به سال:
Drought Forecasting in Khash City by Using Neural Network Model Hossein Negaresh Associate Professor of Geography and Environmental PlanningFaculty, University of Sistan & Baluchestan Mohsen Armesh Holding Master Degree in climatology in Environmental Planning Extended Abstract 1- Introduction Drought is condition of lack of rainfall and increase in temperature occurring in...
Electrical conductivity (EC) is an important factor in river engineering, especially studying of river water quality. In this study we studied and evaluated wavelet neural network to predict the electrical conductivity of the Kakareza river (in lorestan), and the results were compared with results of artificial neural network model. For this purpose, hydrogen carbonate, chloride, sulfate, ...
Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...
Risks assessment of forest project implementation in spatial density changes of forest under canopy vegetation using artificial neural network modeling approach Nowadays, environmental risk assessment has been defined as one of the effective in environmental planning and policy making. Considering the position and structure of vegetation on the forest floor, the main role of forest under ca...
an artificial neural network has been used to determine the volume flux and rejections of ca2+ , na+ and cl¯, as a function of transmembrane pressure and concentrations of ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. the feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidden la...
Background and purpose: Despite rapid progress in medical treatments and acute care technology during the past 30 years alongside increasing costs of medical care, the analysis of outcomes such as mortality risk have been a challenge in intensive care units. The purpose of this study was to predict the mortality rate of premature infants in neonatal intensive care unit (NICU) using artificial n...
Introduction: Hypothyroidism is one of the frequent side effects of radiotherapy of head and neck cancers, breast cancer, and Hodgkin's lymphoma. It is recommended to estimate the normal tissue complication probability of thyroid gland using radiobiological modeling during treatment planning. Moreover, the use of artificial neural network is also proposed as a new method for t...
Bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosag...
many of the meteorological variables such as precipitation, strongly depend on the large scale atmospheric and ocean surface circulations.in the current study, the effect of climatic signals on the average monthly rainfall of the adjacent stations of sheshdeh and gharebolagh area was investigated during the statistical period twenty five years from 1985 to 2009. the regression and neural networ...
abstract accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have bee...
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