نتایج جستجو برای: general regression neural network
تعداد نتایج: 1769952 فیلتر نتایج به سال:
Predicting The Type of Malaria Using Classification and Regression Decision Trees Maryam Ashoori1 *, Fatemeh Hamzavi2 1School of Technical and Engineering, Higher Educational Complex of Saravan, Saravan, Iran 2School of Agriculture, Higher Educational Complex of Saravan, Saravan, Iran Abstract Background: Malaria is an infectious disease infecting 200 - 300 million people annually. Environme...
دیواره های وزنی ساحلی نمونه ای از اسکله هایی است که در بنادر کوچک مورد استفاده قرار میگیرد. دلیل این استفاده در هزینه اولیه احداث پایین این نوع از اسکله ها و دیواره های وزنی ساحلی است نسبت به انواع دیافراگمی و غیره. مشکل عمده این نوع از دیواره های بحثهای مربوط به پایداری این دیوار است. از آنجاییکه در این از دیوارها مولفه اصلی تامین کننده پایداری وزن خود دوار می باشد، در ترکیب به نیروهای جانبی ...
Predictive analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behaviour patterns. The paper predicts the usage of the food commodities in public distribution system in the coming years using the general regression neural network algorithm. The algorithm is enhanced using the NTP algorithm which trains the data as per the requi...
Abstract We propose a novel approach to calibrate the conditional value-at-risk (CoVaR) of financial institutions based on neural network quantile regression. Building estimation results, we model systemic risk spillover effects in context across banks by considering marginal regression procedure. An out-of-sample analysis shows great performance compared linear baseline specification, signifyi...
Common methods to determine the soil infiltration need extensive time and are expensive. However, the existence of non-linear behaviors in soil infiltration makes it difficult to be modeled. With regards to the difficulties of direct measurement of soil infiltration, the use of indirect methods toestimate this parameter has received attention in recent years. Despite the existence of various th...
چکیده ندارد.
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 any climatic condit...
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