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在“自然资源管理”中，命中：40条，耗时：小于0.01 秒

1.The Annual Maximum Flood Peak Discharge Forecasting Using Hermite Projection Pursuit Regression with SSO and LS Method

作者：Wen-chuan Wang ; Kwok-wing Chau ; Dong-mei Xu ; Lin Qiu…

关键词：Annual maximum flood peak ; Flood forecasting ; Hermite polynomial ; Projection pursuit regression ; Social spider optimization ; Least square method ; Artificial neural network

刊名：Water Resources Management

出版者：Springer Netherlands

年：2017

2.Long-range precipitation forecasts using paleoclimate reconstructions in the western United States

作者：Christopher Allen Carrier ; Ajay Kalra ; Sajjad Ahmad

关键词：Precipitation ; Oscillations ; Paleoclimate reconstruction ; Forecast ; KStar

刊名：Journal of Mountain Science

出版者：Springer Berlin Heidelberg

年：2016

3.A Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

作者：Yicheng Gong ; Yongxiang Zhang ; Shuangshuang Lan ; Huan Wang

关键词：Groundwater level ; Artificial neural network ; Support vector machine ; Adaptive neuro fuzzy inference system

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

4.Mapping the mean annual precipitation of China using local interpolation techniques

作者：Wei Sun (1) Yunqiang Zhu (1) Shengli Huang (2) Chunxia Guo (1) 1. State Key Lab of Resources and Environmental Information System ; Institute of Geographic Sciences and Natural Resources Research ; Chinese Academy of Sciences ; Beijing ; China 2. ASRC Federal at USGS Earth Resources Observation and Science (EROS) Center ; Sioux ; SD ; USA

刊名：Theoretical and Applied Climatology

出版者：Springer Wien

年：2015

5.Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

作者：Raheleh Arabgol ; Majid Sartaj ; Keyvan Asghari

关键词：Support vector machines ; Nitrate concentration ; Groundwater quality ; Cross ; validation ; Grid search

刊名：Environmental Modeling & Assessment

出版者：Springer Netherlands

年：2016

6.Mine water supply assessment and evaluation of the system response to the designed demand in a desert region, central Saudi Arabia

作者：Yohannes Yihdego ; Len Drury

关键词：Numerical modelling ; Mine water use ; Water resources management ; Impact prediction ; Middle East ; Mining & Mineral processing

刊名：Environmental Monitoring and Assessment

出版者：Springer Netherlands

年：2016

7.A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation

作者：Xiao Yun Chen ; Kwok Wing Chau

关键词：Hybrid neural network ; Double parallel feedforward ; Suspended sediment load ; River flow ; Differential evolution

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

8.Improving Hydrological Process Modeling Using Optimized Threshold-Based Wavelet De-Noising Technique

作者：Peyman Abbaszadeh

关键词：Precipitation process ; Wavelet neural network ; Wavelet De ; noising technique

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

9.Estimating Spatial Precipitation Using Regression Kriging and Artificial Neural Network Residual Kriging (RKNNRK) Hybrid Approach

作者：Youngmin Seo ; Sungwon Kim ; Vijay P. Singh

关键词：Spatial precipitation estimation ; Geostatistical interpolation ; Regression kriging ; Neural network residual kriging ; Spatial random sampling

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

10.A Comparison of Machine Learning Techniques for Modeling River Flow Time Series: The Case of Upper Cauvery River Basin

作者：Shivshanker Singh Patel ; Parthasarathy Ramachandran

关键词：River water discharge modeling ; ARIMA ; Artificial neural networks ; Support vector regression

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

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