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在“自然资源管理”中，命中：25条，耗时：小于0.01 秒

1.Error Correction Modelling of Wind Speed Through Hydro-Meteorological Parameters and Mesoscale Model: A Hybrid Approach

作者：Asnor Muizan Ishak (1) (3) Renji Remesan (2) Prashant K. Srivastava (1) Tanvir Islam (1) Dawei Han (1)

关键词：MM5 dynamical downscaling ; Linear and non ; linear regression ; Artificial neural network (ANN) ; Support vector machine (SVM) ; Numerical weather prediction (NWP) model ; Input variable selection ; Meteorology and hydrology

刊名：Water Resources Management

年：2013

2.Selection of the Best Method of ETo Estimation Other Than Penman–Monteith and Their Application for the Humid Subtropical Region

作者：Shweta ; A. P. Krishna

关键词：Reference evapotranspiration ; Hargreaves radiation method ; Turc method ; Priestley–Taylor method ; Penman–Monteith method

刊名：Agricultural Research

出版者：Springer India

年：2015

3.Predicting streamflows to a multipurpose reservoir using artificial neural networks and regression techniques

作者：Muhammad Hassan ; Muhammad Ali Shamim ; Hashim Nisar Hashmi…

关键词：Upper Indus Basin ; Inflow prediction ; Upstream catchment ; Meteorological variables ; Artificial neural networking ; Gamma test

刊名：Earth Science Informatics

出版者：Springer Berlin Heidelberg

年：2015

4.Financial analysis for investment and policy decisions in the renewable energy sector

作者：Federica Cucchiella ; Idiano D’Adamo…

关键词：Decision ; making ; Environmental analysis ; Financial analysis ; Plant size ; Subsidies ; Renewable energy

刊名：Clean Technologies and Environmental Policy

出版者：Springer Berlin / Heidelberg

年：2015

5.Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach

作者：T.M.K.G. Ferno ; H.R. Maier ; G.C. Dy

关键词：Artificial neural networks ; Input selection ; Average shifted histograms ; Mutual information

刊名：Journal of Hydrology

年：2009

6.Input variable selection for water resources systems using a modified minimum redundancy maximum relevance (mMRMR) algorithm

作者：Mohamad I. Hejazi ; Ximing Cai

关键词：Mutual information ; Input selection ; MRMR ; mMRMR ; Modeling

刊名：Advances in Water Resources

年：2009

7.Improving ANFIS Based Model for Long-term Dam Inflow Prediction by Incorporating Monthly Rainfall Forecasts

作者：Jehangir Ashraf Awan (1) Deg-Hyo Bae (1)

关键词：ANFIS ; Grid partition ; Monthly rainfall forecast ; Monthly dam inflow prediction ; Data division ; Inputs selection

刊名：Water Resources Management

年：2014

8.Global and decomposition evolutionary support vector machine approaches for time series forecasting

作者：Paulo Cortez ; Juan Peralta Donate

关键词：Estimation distribution algorithm ; Support vector machines ; Time series ; Decomposition forecasting ; Model selection

刊名：Neural Computing & Applications

年：2014

9.Monthly Precipitation Forecasting with a Neuro-Fuzzy Model

作者：Changsam Jeong (1) Ju-Young Shin (2) Taesoon Kim (3) Jun-Haneg Heo (2)

关键词：Neuro ; fuzzy ; Input data selection ; ANFIS ; Long ; term forecast

刊名：Water Resources Management

年：2012

10.A quantitative discussion on the assessment of power supply technologies: DEA (data envelopment analysis) and SAW (simple additive weighting) as complementary methods for the 鈥淕rammar鈥?/span>

作者：Hamed Shakouri G. ; Mahdis Nabaee ; Sajad Aliakbarisani

关键词：Power generation technologies ; Quantitative decision-making ; DEA ; SAW ; Nuclear power plant ; Fossil-fuel power plant

刊名：Energy

年：1 January, 2014

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