Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatial Disaggregation of Areal Rainfall Using Two Different Artificial Neural Networks Models
Authors
Keywords
-
Journal
Water
Volume 7, Issue 12, Pages 2707-2727
Publisher
MDPI AG
Online
2015-06-05
DOI
10.3390/w7062707
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Neural network river forecasting with multi-objective fully informed particle swarm optimization
- (2015) Riccardo Taormina et al. JOURNAL OF HYDROINFORMATICS
- Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
- (2015) Youngmin Seo et al. JOURNAL OF HYDROLOGY
- Multistep-ahead flood forecasting using wavelet and data-driven methods
- (2015) Youngmin Seo et al. KSCE Journal of Civil Engineering
- Estimating Spatial Precipitation Using Regression Kriging and Artificial Neural Network Residual Kriging (RKNNRK) Hybrid Approach
- (2015) Youngmin Seo et al. WATER RESOURCES MANAGEMENT
- Use of artificial neural network for spatial rainfall analysis
- (2014) TSANGARATOS PARASKEVAS et al. Journal of Earth System Science
- Modeling the physical dynamics of daily dew point temperature using soft computing techniques
- (2014) Sungwon Kim et al. KSCE Journal of Civil Engineering
- Modeling daily soil temperature using data-driven models and spatial distribution
- (2014) Sungwon Kim et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Flood Forecasting Using Neural Computing Techniques and Conceptual Class Segregation
- (2013) Sungwon Kim et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
- Evaluation of pan evaporation modeling with two different neural networks and weather station data
- (2013) Sungwon Kim et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns
- (2013) Sungwon Kim et al. WATER RESOURCES MANAGEMENT
- Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones
- (2012) Sungwon Kim et al. WATER RESOURCES MANAGEMENT
- Conditional simulation of remotely sensed rainfall data using a non-Gaussian v-transformed copula
- (2010) Amir AghaKouchak et al. ADVANCES IN WATER RESOURCES
- Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models
- (2010) Zohreh Izadifar et al. HYDROLOGICAL PROCESSES
- The development and assessment of a daily rainfall disaggregation model for South Africa
- (2009) DARRYN KNOESEN et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A hybrid neural network model for typhoon-rainfall forecasting
- (2009) Gwo-Fong Lin et al. JOURNAL OF HYDROLOGY
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- Bias Adjustment of Satellite Precipitation Estimation Using Ground-Based Measurement: A Case Study Evaluation over the Southwestern United States
- (2009) Farid Ishak Boushaki et al. JOURNAL OF HYDROMETEOROLOGY
- Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation
- (2008) S. K. Jain et al. HYDROLOGICAL PROCESSES
- Hourly Disaggregation of Daily Rainfall in Texas Using Measured Hourly Precipitation at Other Locations
- (2008) Janghwan Choi et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Evaluation of Statistical Rainfall Disaggregation Methods Using Rain-Gauge Information for West-Central Florida
- (2008) Jing Zhang et al. JOURNAL OF HYDROLOGIC ENGINEERING
- River stage prediction based on a distributed support vector regression
- (2008) C.L. Wu et al. JOURNAL OF HYDROLOGY
- Uncertainty Reduction of the Flood Stage Forecasting Using Neural Networks Model1
- (2008) Sungwon Kim et al. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
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