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1.River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia

作者：M. R. Mustafa (1) raza_geo@hotmail.com R. B. Rezaur (2) Rezaur_Bhuiyan@golder.com S. Saiedi (1) saied.saiedi@yahoo.com M. H. Isa (1) hasnain_isa@yahoo.co.uk

关键词：Multilayer perceptron neural network – Training algorithms – Discharge – Suspended sediment – Prediction – Modeling

刊名：Water Resources Management

出版者：Springer Netherlands

年：2012

2.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

3.Near-synonym substitution using a discriminative vector space model

作者：Liang-Chih Yua ; b ; lcyu@saturn.yzu.edu.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Lung-Hao Leec ; lhlee@ntnu.edu.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jui-Feng Yehd ; ralph@mail.ncyu.edu.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Hsiu-Min Shihe ; culy33@yahoo.com.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yu-Ling Laie ; yllai@math.ccu.edu.tw" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae

关键词：Natural language processing ; Lexical substitution ; Near-synonym learning ; Discriminative training ; Vector space model

刊名：Knowledge-Based Systems

年：2016

4.Integration of Shuffled Frog Leaping Algorithm and Support Vector Regression for Prediction of Water Quality Parameters

作者：N. Mahmoudi ; H. Orouji ; E. Fallah-Mehdipour

关键词：Support vector regression (SVR) ; Shuffled frog leaping algorithm (SFLA) ; Water quality prediction

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

5.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

6.Predictive Temporal Data-Mining Approach for Evolving Knowledge Based Reservoir Operation Rules

作者：S. Mohan ; N. Ramsundram

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

7.Short-Term Predictions of Hydrological Events on an Urbanized Watershed Using Supervised Classification

作者：M. G. Erechtchoukova ; P. A. Khaiter ; S. Saffarpour

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

8.A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

作者：Seyed Amir Naghibi ; Hamid Reza Pourghasemi

关键词：Groundwater potential mapping ; Boosted regression tree ; Classification and regression tree ; Random forest ; General linear model ; Evidential belief function ; GIS

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

9.Modeling stream dissolved oxygen concentration using teaching–learning based optimization algorithm

作者：Adem Bayram ; Ergun Uzlu ; Murat Kankal ; Tayfun Dede

关键词：Artificial bee colony algorithm ; Dissolved oxygen concentration ; Modeling ; Stream Har?it ; Teaching–learning based optimization

刊名：Environmental Earth Sciences

出版者：Springer Berlin Heidelberg

年：2015

10.Intermittent Streamflow Forecasting and Extreme Event Modelling using Wavelet based Artificial Neural Networks

作者：Jaydip J. Makwana ; Mukesh K. Tiwari

关键词：Intermittent streamflow ; wavelet analysis ; artificial neural networks ; extreme events ; Semi ; arid region ; Gujarat

刊名：Water Resources Management

年：2014

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