Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
出版年份 2021 全文链接
标题
Cumulative infiltration and infiltration rate prediction using optimized deep learning algorithms: A study in Western Iran
作者
关键词
Cumulative infiltration, Infiltration rate, Deep learning, CNN, Metaheuristic, Iran
出版物
Journal of Hydrology-Regional Studies
Volume 35, Issue -, Pages 100825
出版商
Elsevier BV
发表日期
2021-05-08
DOI
10.1016/j.ejrh.2021.100825
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Using convolutional neural networks to classify the maturity of compost based on sewage sludge and rapeseed straw
- (2020) Sebastian Kujawa et al. JOURNAL OF CLEANER PRODUCTION
- Assessing Variability of Infiltration Characteristics and Reliability of Infiltration Models in a Tropical Sub-humid Region of India
- (2020) Smaranika Mahapatra et al. Scientific Reports
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment
- (2020) Dieu Tien Bui et al. CATENA
- Comparative study of landslide susceptibility mapping with different recurrent neural networks
- (2020) Yi Wang et al. COMPUTERS & GEOSCIENCES
- Convolutional neural networks for particle shape classification using light-scattering patterns
- (2020) Chizhu Ding JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
- Improved Binary Grey Wolf Optimizer and Its application for feature selection
- (2020) Pei Hu et al. KNOWLEDGE-BASED SYSTEMS
- Classification of power quality disturbances by 2D-Riesz Transform, multi-objective grey wolf optimizer and machine learning methods
- (2020) Seçkin Karasu et al. DIGITAL SIGNAL PROCESSING
- Immigrant imperialist competitive algorithm to solve the multi-constraint node placement problem in target-based wireless sensor networks
- (2020) Wafa Barkhoda et al. Ad Hoc Networks
- Toluene induces hormetic response of soil alkaline phosphatase and the potential enzyme kinetic mechanism
- (2020) Diwu Fan et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- An efficient imperialist competitive algorithm with likelihood assimilation for topology, shape and sizing optimization of truss structures
- (2020) Milad Dehghani et al. APPLIED MATHEMATICAL MODELLING
- A multi hidden recurrent neural network with a modified grey wolf optimizer
- (2019) Tarik A. Rashid et al. PLoS One
- CNNpred: CNN-based stock market prediction using a diverse set of variables
- (2019) Ehsan Hoseinzade et al. EXPERT SYSTEMS WITH APPLICATIONS
- Assessment of Infiltration Rate of Soil Using Empirical and Machine Learning‐Based Models
- (2019) Munish Kumar et al. IRRIGATION AND DRAINAGE
- Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor
- (2019) Xiaobin Zhu et al. ACTA ASTRONAUTICA
- Modelling of infiltration using artificial intelligence techniques in semi-arid Iran
- (2019) Parveen Sihag et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization
- (2019) Majid Dehghani et al. JOURNAL OF HYDROLOGY
- Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin
- (2019) Saeed Samadianfard et al. Water
- Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
- (2019) Pham et al. Sustainability
- A binary grey wolf optimizer for the multidimensional knapsack problem
- (2019) Kaiping Luo et al. APPLIED SOFT COMPUTING
- A deep learning model to recognize food contaminating beetle species based on elytra fragments
- (2019) Leihong Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Adaptive Range Genetic Algorithm: A hybrid optimization approach and its application in the design and economic optimization of Shell-and-Tube Heat Exchanger
- (2019) Vidyadhar H. Iyer et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A harmonic estimator design with evolutionary operators equipped grey wolf optimizer
- (2019) Akash Saxena et al. EXPERT SYSTEMS WITH APPLICATIONS
- Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids
- (2018) P. Kofinas et al. APPLIED ENERGY
- Significance of machine learning algorithms in professional blogger's classification
- (2018) Yousra Asim et al. COMPUTERS & ELECTRICAL ENGINEERING
- Comparative Evaluation of Infiltration Models
- (2018) Alireza Sepah Vand et al. KSCE Journal of Civil Engineering
- A Simplified Infiltration Model for Predicting Cumulative Infiltration during Vertical Line Source Irrigation
- (2018) Yanwei Fan et al. Water
- Investigating management of Irrigation Water in the Upstream Control System of the Upper Swat Canal
- (2018) A. R. Ghumman et al. Iranian Journal of Science and Technology-Transactions of Civil Engineering
- Fungus-growing termite foraging activity increases water infiltration but only slightly and temporally impacts soil physical properties in southern Indian woodlands
- (2018) Sougueh Cheik et al. EUROPEAN JOURNAL OF SOIL BIOLOGY
- Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
- (2018) Muhammad Waseem Ahmad et al. JOURNAL OF CLEANER PRODUCTION
- New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
- (2018) Dieu Tien Bui et al. Water
- Performance assessment of artificial neural networks and support vector regression models for stream flow predictions
- (2018) Ateeq-ur-Rauf et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Experimental and numerical investigations for optimal emitter spacing in drip irrigation
- (2018) Abdul Razzaq Ghumman et al. IRRIGATION AND DRAINAGE
- Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine
- (2017) Bo Yang et al. ENERGY CONVERSION AND MANAGEMENT
- Reliable and accurate point-based prediction of cumulative infiltration using soil readily available characteristics: A comparison between GMDH, ANN, and MLR
- (2017) Mehdi Rahmati JOURNAL OF HYDROLOGY
- Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
- (2017) Hakan Gunduz et al. KNOWLEDGE-BASED SYSTEMS
- Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia
- (2017) Gebiaw Ayele et al. Water
- Estimation of soil saturated hydraulic conductivity by artificial neural networks ensemble in smectitic soils
- (2016) A. Sedaghat et al. EURASIAN SOIL SCIENCE
- An analytical solution of Richards' equation providing the physical basis of SCS curve number method and its proportionality relationship
- (2016) Milad Hooshyar et al. WATER RESOURCES RESEARCH
- Mapping soil water dynamics and a moving wetting front by spatiotemporal inversion of electromagnetic induction data
- (2016) J. Huang et al. WATER RESOURCES RESEARCH
- Artificial intelligence based models for stream-flow forecasting: 2000–2015
- (2015) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Support Vector Machine and regression analysis to predict the field hydraulic conductivity of sandy soil
- (2015) Moussa S. Elbisy KSCE Journal of Civil Engineering
- Selection of a suitable model for the prediction of soil water content in north of Iran
- (2015) Leila Esmaeelnejad et al. SPANISH JOURNAL OF AGRICULTURAL RESEARCH
- An investigational approach for the modelling of infiltration process in a clay soil
- (2015) Chandrakant L. Jejurkar et al. KSCE Journal of Civil Engineering
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Variation in soil nutrients in grasslands along the Kunes River in Xinjiang, China
- (2014) Jie Ma et al. CHEMISTRY AND ECOLOGY
- Glyphosate herbicide affects belowground interactions between earthworms and symbiotic mycorrhizal fungi in a model ecosystem
- (2014) Johann G. Zaller et al. Scientific Reports
- Theoretical and Experimental Research of Cumulative Infiltration
- (2013) A. Angelaki et al. TRANSPORT IN POROUS MEDIA
- Suspended sediment modeling using genetic programming and soft computing techniques
- (2012) Ozgur Kisi et al. JOURNAL OF HYDROLOGY
- Suspended sediment load prediction of river systems: An artificial neural network approach
- (2011) A.M. Melesse et al. AGRICULTURAL WATER MANAGEMENT
- Relating TRMM precipitation radar land surface backscatter response to soil moisture in the Southern United States
- (2011) Sumit Puri et al. JOURNAL OF HYDROLOGY
- Neural computing models for prediction of permeability coefficient of coarse-grained soils
- (2011) Işık Yilmaz et al. NEURAL COMPUTING & APPLICATIONS
- Green-Ampt Infiltration Models for Varied Field Conditions: A Revisit
- (2011) Ravindra V. Kale et al. WATER RESOURCES MANAGEMENT
- Prediction of Field Hydraulic Conductivity of Clay Liners Using an Artificial Neural Network and Support Vector Machine
- (2011) Sarat Kumar Das et al. International Journal of Geomechanics
- Estimating soil moisture using remote sensing data: A machine learning approach
- (2009) Sajjad Ahmad et al. ADVANCES IN WATER RESOURCES
- Adaptive beamforming using a novel numerical optimisation algorithm
- (2009) M.M. Roshanaei et al. IET Microwaves Antennas & Propagation
- Numerical evaluation of a set of analytical infiltration equations
- (2009) L. Lassabatere et al. WATER RESOURCES RESEARCH
- Discounted multi-item inventory model via genetic algorithm with Roulette wheel selection, arithmetic crossover and uniform mutation in constraints bounded domains
- (2008) A. K. Maiti et al. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More