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在“
自然资源管理
”中,
命中:
332
条,耗时:0.0339839 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
Network
s, 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
network
s
;
SPI
;
Wavelet transforms
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
3.
Comparative Study of
Artificial
Neural
Network
s 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
Network
s, 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
network
s
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
Network
s and Time Series Models
作者:
Muhammad A. Al-Zahrani
;
Amin Abo-Monasar
关键词:
Water demand
;
Artificial
neural
network
s
;
Time series
;
Climatic variables
;
Saudi Arabia
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
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