Skip to Main Content
Umbrella Alt Text
header search
Search
Advanced Search
Cart
Skip Nav Destination

Identification of support vector machines for runoff modelling

Journal of Hydroinformatics (2004) 6 (4): 265–280.
This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.
Sandstone groundwater salinization modelling using physicochemical variables in Southern Saudi Arabia: Application of novel data intelligent algorithms
  • S.I. Abba
  • Mohammed Benaafi
  • A.G. Usman
  • Isam H. Aljundi
Ain Shams Engineering Journal (2023) 14 (3): 101894.
Improvement of spatial prediction of soil depth via earth observation
  • Gabriel Pimenta Barbosa de Sousa
  • Mahboobeh Tayebi
  • Lucas Rabelo Campos
  • Lucas T. Greschuk
  • Merilyn Taynara Accorsi Amorim
  • Jorge Tadeu Fim Rosas
  • Fellipe Alcantara de Oliveira Mello
  • Songchao Chen
  • Shamsollah Ayoubi
  • José A. M. Demattê
CATENA (2023) 223: 106915.
Evaluation of Machine-Learning Models for Predicting Aeolian Dust: A Case Study over the Southwestern USA
  • Yog Aryal
Climate (2022) 10 (6): 78.
Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation
  • Muhammad Jehanzaib
  • Muhammad Ajmal
  • Mohammed Achite
  • Tae-Woong Kim
Climate (2022) 10 (10): 147.
An Integrated Statistical-Machine Learning Approach for Runoff Prediction
  • Abhinav Kumar Singh
  • Pankaj Kumar
  • Rawshan Ali
  • Nadhir Al-Ansari
  • Dinesh Kumar Vishwakarma
  • Kuldeep Singh Kushwaha
  • Kanhu Charan Panda
  • Atish Sagar
  • Ehsan Mirzania
  • Ahmed Elbeltagi
  • Alban Kuriqi
  • Salim Heddam
Sustainability (2022) 14 (13): 8209.
An Improved Cluster‐Wise Typhoon Rainfall Forecasting Model Based on Machine Learning and Deep Learning Models Over the Northwestern Pacific Ocean
  • Md. Jalal Uddin
  • Yubin Li
  • Md. Abdus Sattar
  • Mingyang Liu
  • Nan Yang
Journal of Geophysical Research: Atmospheres (2022) 127 (14)
Simulation of flood hazard, prioritization of critical sub-catchments, and resilience study in an urban setting using PCSWMM: a case study
  • Sagar Kumar Manchikatla
  • N. V. Umamahesh
Water Policy (2022) 24 (8): 1247.
Image Classification and Land Cover Mapping Using Sentinel-2 Imagery: Optimization of SVM Parameters
  • Saleh Yousefi
  • Somayeh Mirzaee
  • Hussein Almohamad
  • Ahmed Abdullah Al Dughairi
  • Christopher Gomez
  • Narges Siamian
  • Mona Alrasheedi
  • Hazem Ghassan Abdo
Land (2022) 11 (7): 993.
Prediction of S12-MKII rainfall simulator experimental runoff data sets using hybrid PSR-SVM-FFA approaches
  • Sandeep Samantaray
  • Dillip Kumar Ghose
Journal of Water and Climate Change (2022) 13 (2): 707.
Hybrid wavelet-gene expression programming and wavelet-support vector machine models for rainfall-runoff modeling
  • Potharlanka Jhansi Lakshmi
  • Rubén Apaza Apaza
  • Ahmed Alkhayyat
  • Haydar Abdulameer Marhoon
  • Ameer A. Alameri
Water Science and Technology (2022) 86 (12): 3205.
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches
  • Yahui Guo
  • Xuan Zhang
  • Shouzhi Chen
  • Hanxi Wang
  • Senthilnath Jayavelu
  • Davide Cammarano
  • Yongshuo Fu
Remote Sensing (2022) 14 (24): 6290.
Prediction of Flow Based on a CNN-LSTM Combined Deep Learning Approach
  • Peifeng Li
  • Jin Zhang
  • Peter Krebs
Water (2022) 14 (6): 993.
Climatic water balance forecasting with machine learning and deep learning models over Bangladesh
  • Md. Jalal Uddin
  • Yubin Li
  • Md. Abdus Sattar
  • Sunit Mistry
International Journal of Climatology (2022) 42 (16): 10083.
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes
  • Bilal Cemek
  • Hakan Arslan
  • Erdem Küçüktopcu
  • Halis Simsek
Stochastic Environmental Research and Risk Assessment (2022) 36 (12): 4271.
A Stepwise Clustered Hydrological Model for Addressing the Temporal Autocorrelation of Daily Streamflows in Irrigated Watersheds
  • Kailong Li
  • Guohe Huang
  • Shuo Wang
  • Brian Baetz
  • Weihuang Xu
Water Resources Research (2022) 58 (2)
LSTM-Based Model for Predicting Inland River Runoff in Arid Region: A Case Study on Yarkant River, Northwest China
  • Jiaxin Li
  • Kaixuan Qian
  • Yuan Liu
  • Wei Yan
  • Xiuyun Yang
  • Geping Luo
  • Xiaofei Ma
Water (2022) 14 (11): 1745.
Adıyaman ve Gaziantep İstasyonlarındaki Güneşlenme Şiddetinin Destek Vektör Makineleri ile Tahmini
  • Latif Doğan DİNSEVER
  • Veysel GÜMÜŞ
  • Oğuz ŞİMŞEK
  • Yavuz AVŞAROĞLU
  • Mehmet KUŞ
Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi (2021)
A review on the applications of machine learning for runoff modeling
  • Babak Mohammadi
Sustainable Water Resources Management (2021) 7 (6)
Prediction of methane emission from landfills using machine learning models
  • Seyed Mostafa Mehrdad
  • Maryam Abbasi
  • Bijan Yeganeh
  • Hamidreza Kamalan
Environmental Progress & Sustainable Energy (2021) 40 (4)
Groundwater quality forecasting modelling using artificial intelligence: A review
  • Nur Farahin Che Nordin
  • Nuruol Syuhadaa Mohd
  • Suhana Koting
  • Zubaidah Ismail
  • Mohsen Sherif
  • Ahmed El-Shafie
Groundwater for Sustainable Development (2021) 14: 100643.
Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity
  • Wei Wang
  • Jia Liu
  • Chuanzhe Li
  • Yuchen Liu
  • Fuliang Yu
Remote Sensing (2021) 13 (4): 595.
Monitoring and Forecasting of Urban Expansion Using Machine Learning-Based Techniques and Remotely Sensed Data: A Case Study of Gharbia Governorate, Egypt
  • Eman Mostafa
  • Xuxiang Li
  • Mohammed Sadek
  • Jacqueline Fifame Dossou
Remote Sensing (2021) 13 (22): 4498.
Short-term River streamflow modeling using Ensemble-based additive learner approach
  • Khabat Khosravi
  • Shaghayegh Miraki
  • Patricia M. Saco
  • Raziyeh Farmani
Journal of Hydro-environment Research (2021) 39: 81.
Parametric analysis and soft-computing prediction of sweet potatoes (Ipomoea batatas L) starch drying using machine learning techniques
  • E. O. Oke
  • B. I. Okolo
  • O. Adeyi
  • F. N. Osuolale
  • P. C. Nnaji
  • C. Ude
  • J. Ayanyemi
SN Applied Sciences (2020) 2 (9)
Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
  • Shuai Gao
  • Yuefei Huang
  • Shuo Zhang
  • Jingcheng Han
  • Guangqian Wang
  • Meixin Zhang
  • Qingsheng Lin
Journal of Hydrology (2020) 589: 125188.
Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran
  • Afshin Ashrafzadeh
  • Ozgur Kişi
  • Pouya Aghelpour
  • Seyed Mostafa Biazar
  • Mohammadreza Askarizad Masouleh
Journal of Irrigation and Drainage Engineering (2020) 146 (6)
Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an arid area of Iran
  • Akram Seifi
  • Hossien Riahi
Journal of Water and Climate Change (2020) 11 (1): 217.
Accuracy assessment of supervised classification methods for extraction land use maps using remote sensing and GIS techniques
  • Zahraa Abbas
  • Hussein Sabah Jaber
IOP Conference Series: Materials Science and Engineering (2020) 745 (1): 012166.
A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series
  • Hui Hu
  • Jianfeng Zhang
  • Tao Li
Complexity (2020) 2020: 1.
A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction
  • Peifeng Li
  • Pei Hua
  • Dongwei Gui
  • Jie Niu
  • Peng Pei
  • Jin Zhang
  • Peter Krebs
Scientific Reports (2020) 10 (1)
A Hybrid Approach Combining Conceptual Hydrological Models, Support Vector Machines and Remote Sensing Data for Rainfall-Runoff Modeling
  • Moonhyuk Kwon
  • Hyun-Han Kwon
  • Dawei Han
Remote Sensing (2020) 12 (11): 1801.
Comparative Assessment of Reference Evapotranspiration Estimation Using Conventional Method and Machine Learning Algorithms in Four Climatic Regions
  • Ali Raza
  • Muhammad Shoaib
  • Muhammad Abrar Faiz
  • Faisal Baig
  • Mudasser Muneer Khan
  • Muhammad Kaleem Ullah
  • Muhammad Zubair
Pure and Applied Geophysics (2020) 177 (9): 4479.
Real-Time Probabilistic Flood Forecasting Using Multiple Machine Learning Methods
  • Dinh Ty Nguyen
  • Shien-Tsung Chen
Water (2020) 12 (3): 787.
Estimating Small Reservoir Evaporation Using Machine Learning Models for the Brazilian Savannah
  • Daniel Althoff
  • Roberto Filgueiras
  • Lineu Neiva Rodrigues
Journal of Hydrologic Engineering (2020) 25 (8)
Spatio-temporal patterns of evapotranspiration based on upscaling eddy covariance measurements in the dryland of the North China Plain
  • Beijing Fang
  • Huimin Lei
  • Yucui Zhang
  • Quan Quan
  • Dawen Yang
Agricultural and Forest Meteorology (2020) 281: 107844.
Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
  • Mir Jafar Sadegh Safari
  • Shervin Rahimzadeh Arashloo
  • Ali Danandeh Mehr
Journal of Hydrology (2020) 587: 125014.
New input selection procedure for machine learning methods in estimating daily global solar radiation
  • Seyed Mostafa Biazar
  • Vahid Rahmani
  • Mohammad Isazadeh
  • Ozgur Kisi
  • Yagob Dinpashoh
Arabian Journal of Geosciences (2020) 13 (12)
SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise
  • Morufu Olusola Ibitoye
  • Nur Azah Hamzaid
  • Ahmad Khairi Abdul Wahab
  • Nazirah Hasnan
  • Sunday Olusanya Olatunji
  • Glen M. Davis
Computers in Biology and Medicine (2020) 117: 103614.
Operational Probabilistic Forecasting of Coastal Freak Waves by Using an Artificial Neural Network
  • Dong-Jiing Doong
  • Shien-Tsung Chen
  • Ying-Chih Chen
  • Cheng-Han Tsai
Journal of Marine Science and Engineering (2020) 8 (3): 165.
Comparing Support Vector Machines and Maximum Likelihood Classifiers for Mapping of Urbanization
  • Bhagawat Rimal
  • Sushila Rijal
  • Ripu Kunwar
Journal of the Indian Society of Remote Sensing (2020) 48 (1): 71.
Fuzzy time series for real-time flood forecasting
  • Chang-Shian Chen
  • You-Da Jhong
  • Wan-Zhen Wu
  • Shien-Tsung Chen
Stochastic Environmental Research and Risk Assessment (2019) 33 (3): 645.
Incorporating a machine learning technique to improve open-channel flow computations
  • Hamed Farhadi
  • Abdolreza Zahiri
  • M. Reza Hashemi
  • Kazem Esmaili
Neural Computing and Applications (2019) 31 (3): 909.
ALK positive lung cancer identification and targeted drugs evaluation using microscopic hyperspectral imaging technique
  • Jing Song
  • Menghan Hu
  • Jiansheng Wang
  • Mei Zhou
  • Li Sun
  • Song Qiu
  • Qingli Li
  • Zhen Sun
  • Yiting Wang
Infrared Physics & Technology (2019) 96: 267.
Flash Flood Forecasting Using Support Vector Regression Model in a Small Mountainous Catchment
  • Jian Wu
  • Haixing Liu
  • Guozhen Wei
  • Tianyu Song
  • Chi Zhang
  • Huicheng Zhou
Water (2019) 11 (7): 1327.
Flow regime identification for air valves failure evaluation in water pipelines using pressure data
  • Haixing Liu
  • Yan Zhu
  • Shengwei Pei
  • Dragan Savić
  • Guangtao Fu
  • Chi Zhang
  • Yixing Yuan
  • Jinsong Zhang
Water Research (2019) 165: 115002.
Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines
  • Sandra M. Guzman
  • Joel O. Paz
  • Mary Love M. Tagert
  • Andrew E. Mercer
Environmental Modeling & Assessment (2019) 24 (2): 223.
A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture
  • Ashish Kumar
  • RAAJ Ramsankaran
  • Luca Brocca
  • Francisco Munoz-Arriola
Remote Sensing (2019) 11 (19): 2221.
Physics-Informed Data-Driven Models to Predict Surface Runoff Water Quantity and Quality in Agricultural Fields
  • Jing Liang
  • Wenzhe Li
  • Scott Bradford
  • Jiří Šimůnek
Water (2019) 11 (2): 200.
Probabilistic forecasting of coastal wave height during typhoon warning period using machine learning methods
  • Shien-Tsung Chen
Journal of Hydroinformatics (2019) 21 (2): 343.
Destek Vektör Makineleri ve M5 Karar Ağacı Yöntemleri Kullanılarak Yağış Akış İlişkisinin Tahmini
  • Mustafa Demirci
DÜMF Mühendislik Dergisi (2019) 10 (3): 1113.
  • IWA Publishing
  • Republic – Export Building, Units 1.04 & 1.05
  • 1 Clove Crescent
  • London, E14 2BA, UK
  • Telephone: +44 208 054 8208
  • Fax: +44 207 654 5555
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.
Accept