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在“自然资源管理”中，命中：332条，耗时：小于0.01 秒

1.Are Evolutionary Algorithms Effective in Calibrating Different Artificial Neural Network Types for Streamwater Temperature Prediction?

作者：Adam P. Piotrowski ; Maciej J. Napiorkowski ; Monika Kalinowska…

关键词：Streamwater temperature prediction ; Temperate climate zone ; Artificial neural network ; Differential evolution ; Particle swarm optimization ; Genetic algorithm

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

2.Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Stochastic Models: Case of the Algerois Basin in North Algeria

作者：Salim Djerbouai ; Doudja Souag-Gamane

关键词：Algerois catchment ; ARIMA ; Drought ; Forecasting ; Neural networks ; SPI ; Wavelet transforms

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

3.Comparative Study of Artificial Neural Networks and Wavelet Artificial Neural Networks for Groundwater Depth Data Forecasting with Various Curve Fractal Dimensions

作者：Zhenfang He (1) (2) (3) Yaonan Zhang (1) Qingchun Guo (3) (4) Xueru Zhao (1) (5)

关键词：Artificial neural network ; Wavelet artificial neural network ; Groundwater depth ; Training algorithms ; Mallat decomposition algorithm ; Fractal dimension

刊名：Water Resources Management

年：2014

4.Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach

作者：Saad SH. Sammen ; T. A. Mohamed ; A. H. Ghazali…

关键词：Dam safety ; Dam failure ; Breach outflow ; Peak outflow discharge ; Generalized regression neural network

刊名：Water Resources Management

出版者：Springer Netherlands

年：2017

5.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

6.Energy conservation in cloud data centers by minimizing virtual machines migration through artificial neural network

作者：A. Radhakrishnan ; V. Kavitha

关键词：Cloud computing ; Virtual machines ; Infrastructure as a service ; Artificial neural network ; Genetic algorithm

刊名：Computing

出版者：Springer Wien

年：2016

7.Cprecip parameter for checking snow entry for forecasting weekly discharge of the Haraz River flow by artificial neural network

作者：M. Gouran Orimi ; A. Farid ; R. Amiri ; K. Imani

关键词：weekly discharge prediction ; snow ; cumulative precipitation parameters (Cprecip) ; Artificial Neural Network ; Haraz River

刊名：Water Resources

出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science Business Media LLC.

年：2015

8.Application of Feedforward Artificial Neural Network in Muskingum Flood Routing: a Black-Box Forecasting Approach for a Natural River System

作者：Zaw Zaw Latt

关键词：Artificial neural network ; Flood routing ; Multilayer perceptron ; Multiple ; peaked hydrograph ; Muskingum method ; Nonlinear model

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

9.Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks

作者：Johan Barthélemy ; Timoteo Carletti ; Louise Collier…

关键词：Interaction index ; Discrete choice model ; Neural network ; Dewatering ; Groundwater ; Extractive activity

刊名：Environmental Earth Sciences

出版者：Springer Berlin Heidelberg

年：2016

10.Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models

作者：Muhammad A. Al-Zahrani ; Amin Abo-Monasar

关键词：Water demand ; Artificial neural networks ; Time series ; Climatic variables ; Saudi Arabia

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

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