نتایج جستجو برای: general regression neural network
تعداد نتایج: 1769952 فیلتر نتایج به سال:
background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime importance in designing and programming municipal solid waste management system. this study tests the short-term prediction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...
<p>This study aimed to propose a method predict yarn unevenness grounded on the generalized regression neural network and traditional model further improve prediction accuracy. The was constructed. Under this model, three-layer network, four-layer five-layer were designed. Finally, Python used for training simulation. parameters three models data made consistent ensure comparability of re...
Abstract According to the requirements of aircraft accessibility judgment, based on existing research, this paper proposes two judgment methods “initial position velocity threshold range” and “expected landing site range”. Firstly, motion model is established, sample library established by using trajectory planning method. Then, initial velocities are selected as prediction targets, neural netw...
Remote patient tracking has recently gained increased attention, due to its lower cost and non-invasive nature. In this paper, the performance of Support Vector Machines (SVM), Least Square Support Vector Machines (LS-SVM), Multilayer Perceptron Neural Network (MLPNN), and General Regression Neural Network (GRNN) regression methods is studied in application to remote tracking of Parkinson’s dis...
Soil fertility measures such as cation exchange capacity (CEC) may be used in upgrading soil maps and improving their quality. Direct measurement of CEC is costly and laborious. Indirect estimation of CEC via pedotransfer functions, therefore, may be appropriate and effective. Several delineations of two consociation map units consisting of two soil families, Shahrak series and Chaharmahal seri...
Bedload transport is an essential component of river dynamics and estimation of its rate is important to many aspects of river management. In this study, measured bedload by Helley- Smith sampler was used to estimate the bedload transport of Kurau River in Malaysia. An artificial neural network, genetic programming and a combination of genetic programming and a neural network were used to estim...
correct estimation of suspended sediment transported by a river is an important practice in water structure design, environmental problems and water quality issues. conventionally, sediment rating curve used for suspended sediment estimation in rivers. in this method discharge and sediment discharge or concentration related using regression relation that generally is exponential model. respect ...
The purpose of this study is to develop methods for determining the biological age (BA) and pace human aging based on anthropometric biochemical laboratory biomarkers, comparing accuracy BA determination using regression neural network analysis. In 735 practically healthy people aged from 20 79, we determined blood plasma concentrations glucose insulin serum total cholesterol, cholesterol high,...
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