A hybrid support vector regression–firefly model for monthly rainfall forecasting
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A hybrid support vector regression–firefly model for monthly rainfall forecasting
Authors
Keywords
Support vector regression, Rainfall, Time series modeling, Firefly algorithm, Multigene genetic programming, Iran
Journal
International Journal of Environmental Science and Technology
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-05-07
DOI
10.1007/s13762-018-1674-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
- (2018) Ravinesh C. Deo et al. RENEWABLE ENERGY
- A Pareto-optimal moving average-multigene genetic programming model for rainfall-runoff modelling
- (2017) Ali Danandeh Mehr et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Wavelet-linear genetic programming: A new approach for modeling monthly streamflow
- (2017) Masoud Ravansalar et al. JOURNAL OF HYDROLOGY
- Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
- (2017) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
- (2017) Mohammad Ali Ghorbani et al. SOIL & TILLAGE RESEARCH
- Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
- (2017) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River
- (2017) Ehsan Olyaie et al. Geoscience Frontiers
- Using exogenous variables to improve precipitation predictions of ANNs in arid and hyper-arid climates
- (2016) Hossein Bari Abarghouei et al. Arabian Journal of Geosciences
- Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
- (2016) R Shirani Faradonbeh et al. International Journal of Environmental Science and Technology
- Regional Flood Frequency Analysis using Support Vector Regression under historical and future climate
- (2016) Mesgana Seyoum Gizaw et al. JOURNAL OF HYDROLOGY
- A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes
- (2016) I. Ebtehaj et al. WATER SCIENCE AND TECHNOLOGY
- Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals
- (2015) F. Mekanik et al. CLIMATE DYNAMICS
- Daily and monthly suspended sediment load predictions using wavelet based artificial intelligence approaches
- (2015) Vahid Nourani et al. Journal of Mountain Science
- A hybrid SVM-FFA method for prediction of monthly mean global solar radiation
- (2015) Shahaboddin Shamshirband et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Application of Fixed Length Gene Genetic Programming (FLGGP) in Hydropower Reservoir Operation
- (2015) Habib Akbari-Alashti et al. WATER RESOURCES MANAGEMENT
- Support vector machine applications in the field of hydrology: A review
- (2014) Sujay Raghavendra. N et al. APPLIED SOFT COMPUTING
- Linear genetic programming application for successive-station monthly streamflow prediction
- (2014) Ali Danandeh Mehr et al. COMPUTERS & GEOSCIENCES
- Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index
- (2014) A. Jalalkamali et al. International Journal of Environmental Science and Technology
- Successive-station monthly streamflow prediction using different artificial neural network algorithms
- (2014) A. Danandeh Mehr et al. International Journal of Environmental Science and Technology
- Rectangular side weirs discharge coefficient estimation in circular channels using linear genetic programming approach
- (2014) Ali Uyumaz et al. JOURNAL OF HYDROINFORMATICS
- Wavelet Analysis-Support Vector Machine Coupled Models for Monthly Rainfall Forecasting in Arid Regions
- (2014) Qi Feng et al. WATER RESOURCES MANAGEMENT
- Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes
- (2013) F. Mekanik et al. JOURNAL OF HYDROLOGY
- Successive-station monthly streamflow prediction using neuro-wavelet technique
- (2013) Ali Danandeh Mehr et al. Earth Science Informatics
- Support vector regression with chaos-based firefly algorithm for stock market price forecasting
- (2012) Ahmad Kazem et al. APPLIED SOFT COMPUTING
- Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
- (2011) Xin-She Yang et al. APPLIED SOFT COMPUTING
- Precipitation forecasting by using wavelet-support vector machine conjunction model
- (2011) Ozgur Kisi et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
- (2011) Muhammad Z. Hashmi et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece
- (2011) Kostas P. Moustris et al. WATER RESOURCES MANAGEMENT
- A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation
- (2008) Vahid Nourani et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Artificial neural network models for forecasting monthly precipitation in Jordan
- (2008) Hafzullah Aksoy et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network
- (2007) M. Nasseri et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now