Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

(2020) Min Yan Chia et al.   Agronomy-Basel

Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review

(2020) Keyu Xiang et al.   AGRICULTURAL WATER MANAGEMENT

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

(2020) Babak Mohammadi et al.   AGRICULTURAL WATER MANAGEMENT

Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

(2020) Bin Zhu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Neuro-fuzzy estimation of reference crop evapotranspiration by neuro fuzzy logic based on weather conditions

(2020) Biljana Petković et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

(2019) Francesco Granata   AGRICULTURAL WATER MANAGEMENT

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

(2019) Guomin Huang et al.   JOURNAL OF HYDROLOGY

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

(2019) Lifeng Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

(2019) Yazid Tikhamarine et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State

(2019) Anurag Malik et al.   HYDROLOGY RESEARCH

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

(2019) Lifeng Wu et al.   JOURNAL OF HYDROLOGY

Artificial intelligence based approaches to evaluate actual evapotranspiration in wetlands

(2019) Francesco Granata et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of visual and automated oil palm mapping in Borneo

(2018) Jukka Miettinen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Charting the water footprint for Malaysian crude palm oil

(2018) Vijaya Subramaniam et al.   JOURNAL OF CLEANER PRODUCTION

Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran)

(2018) Omolbani Mohammadrezapour et al.   Water Science and Technology-Water Supply

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance

(2016) Jose V. Frances-Villora et al.   COMPUTERS & ELECTRICAL ENGINEERING

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

(2016) Amit Prakash Patil et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

(2016) Yu Feng et al.   JOURNAL OF HYDROLOGY

Worldwide assessment of the Penman–Monteith temperature approach for the estimation of monthly reference evapotranspiration

(2016) Javier Almorox et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

(2015) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

Performance evaluation of hybrid Wavelet-ANN and Wavelet-ANFIS models for estimating evapotranspiration in arid regions of India

(2015) Amit Prakash Patil et al.   NEURAL COMPUTING & APPLICATIONS

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY