A novel approach for rainfall-runoff modelling using a biogeography-based optimization technique
Author:
Affiliation:
1. Computer Science and Engineering Department, National Institute of Technology Patna, Patna, India
2. Civil Engineering Department, National Institute of Technology Patna, Patna, India
Funder
Ministry of Electronics & Information Technology
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/15715124.2019.1628035
Reference55 articles.
1. Application of artificial neural networks to rainfall forecasting in Queensland, Australia
2. The application of ANFIS prediction models for thermal error compensation on CNC machine tools
3. Performance Assessment of the Linear, Nonlinear and Nonparametric Data Driven Models in River Flow Forecasting
4. Analysis and prediction of flow from local source in a river basin using a Neuro-fuzzy modeling tool
5. Hourly runoff forecasting for flood risk management: Application of various computational intelligence models
Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Runoff Predictions in a Semiarid Watershed by Convolutional Neural Networks Improved with Metaheuristic Algorithms and Forced with Reanalysis and Climate Data;Journal of Hydrologic Engineering;2023-07
2. Performance Improvement of LSTM-based Deep Learning Model for Streamflow Forecasting Using Kalman Filtering;Water Resources Management;2023-03-17
3. Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer;Sustainability;2023-02-10
4. A novel fuzzy based deep neural network for rain fall prediction using cloud images;Concurrency and Computation: Practice and Experience;2022-10-18
5. Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter;Journal of Rock Mechanics and Geotechnical Engineering;2022-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3