Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling

Efficiency evaluation of reverse osmosis desalination plant using hybridized multilayer perceptron with particle swarm optimization

(2020) Mohammad Ehteram et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Neural network modeling for groundwater-level forecasting in coastal aquifers

(2020) Thendiyath Roshni et al.   NEURAL COMPUTING & APPLICATIONS

A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development

(2020) A. G. Usman et al.   CHROMATOGRAPHIA

Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index

(2020) Sani Isah Abba et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Estimation of total dissolved solids (TDS) using new hybrid machine learning models

(2020) Fatemeh Barzegari Banadkooki et al.   JOURNAL OF HYDROLOGY

Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

(2020) S.I. Abba et al.   JOURNAL OF HYDROLOGY

The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty

(2020) Ahmad Sharafati et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Conjunction of a newly proposed emotional ANN (EANN) and wavelet transform for suspended sediment load modeling

(2019) Elnaz Sharghi et al.   Water Science and Technology-Water Supply

Prediction of dissolved oxygen content in aquaculture using Clustering-based Softplus Extreme Learning Machine

(2019) Pei Shi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Predicting stable alluvial channel profiles using emotional artificial neural networks

(2019) Azadeh Gholami et al.   APPLIED SOFT COMPUTING

Distribution and source apportionment of hydrocarbons in sediments of oil-producing continental margin: a fuzzy logic approach

(2019) Angela de L. R. Wagener et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Simple modifications of the nonlinear regression stream temperature model for daily data

(2019) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Explicit and interpretable nonlinear soft sensor models for influent surveillance at a full-scale wastewater treatment plant

(2019) Xiaodong Wang et al.   JOURNAL OF PROCESS CONTROL

Emotional artificial neural networks (EANNs) for multi-step ahead prediction of monthly precipitation; case study: northern Cyprus

(2019) Vahid Nourani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Predicting Total Dissolved Gas Concentration on a Daily Scale Using Kriging Interpolation, Response Surface Method and Artificial Neural Network: Case Study of Columbia River Basin Dams, USA

(2019) Salim Heddam et al.   Natural Resources Research

Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

(2019) Gozen Elkiran et al.   JOURNAL OF HYDROLOGY

An emotional artificial neural network for prediction of vehicular traffic noise

(2019) Vahid Nourani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall

(2019) Quoc Bao Pham et al.   WATER RESOURCES MANAGEMENT

Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation

(2018) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Genetic programming in water resources engineering: A state-of-the-art review

(2018) Ali Danandeh Mehr et al.   JOURNAL OF HYDROLOGY

Multisource and multiuser water resources allocation based on genetic algorithm

(2018) Shaoqun Qi et al.   JOURNAL OF SUPERCOMPUTING

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection

(2018) Yun Liu et al.   ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE

Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

(2018) Senlin Zhu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Conjunction of emotional ANN (EANN) and wavelet transform for rainfall-runoff modeling

(2018) Elnaz Sharghi et al.   JOURNAL OF HYDROINFORMATICS

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Water-Quality Prediction Using Multimodal Support Vector Regression: Case Study of Jialing River, China

(2017) Xuejiao Li et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Shuffling cross–validation–bee algorithm as a new descriptor selection method for retention studies of pesticides in biopartitioning micellar chromatography

(2017) Kobra Zarei et al.   JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART B-PESTICIDES FOOD CONTAMINANTS AND AGRICULTURAL WASTES

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

(2017) Vahid Nourani   JOURNAL OF HYDROLOGY

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Water-Quality Prediction Using Multimodal Support Vector Regression: Case Study of Jialing River, China

(2017) Xuejiao Li et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

(2016) Mohammed Hameed et al.   NEURAL COMPUTING & APPLICATIONS

Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data

(2016) Boubacar Doucoure et al.   RENEWABLE ENERGY

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Time-Delay Neural Network for Continuous Emotional Dimension Prediction From Facial Expression Sequences

(2016) Hongying Meng et al.   IEEE Transactions on Cybernetics

Estimation of dissolved oxygen using data-driven techniques in the Tai Po River, Hong Kong

(2015) Samira Nemati et al.   Environmental Earth Sciences

Construction of a novel water quality index and quality indicator for reservoir water quality evaluation: A case study in the Amazon region

(2015) T.C. Lobato et al.   JOURNAL OF HYDROLOGY

Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm

(2015) Jiansheng Wu et al.   NEUROCOMPUTING

Prediction of water quality index in constructed wetlands using support vector machine

(2014) Reza Mohammadpour et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Practical emotional neural networks

(2014) Ehsan Lotfi et al.   NEURAL NETWORKS

River Water Prediction Modeling Using Neural Networks, Fuzzy and Wavelet Coupled Model

(2014) Kulwinder Singh Parmar et al.   WATER RESOURCES MANAGEMENT

Water Quality of a Reservoir and Its Major Tributary Located in East-Central Mexico

(2014) Patricia Castilla-Hernández et al.   International Journal of Environmental Research and Public Health

BRAIN EMOTIONAL LEARNING-BASED PATTERN RECOGNIZER

(2013) Ehsan Lotfi et al.   CYBERNETICS AND SYSTEMS

Adaptive brain emotional decayed learning for online prediction of geomagnetic activity indices

(2013) Ehsan Lotfi et al.   NEUROCOMPUTING

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

(2012) Xiaohu Wen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors

(2012) Nabeel M. Gazzaz et al.   MARINE POLLUTION BULLETIN

Comparison of random forest, support vector machine and back propagation neural network for electronic tongue data classification: Application to the recognition of orange beverage and Chinese vinegar

(2012) Miao Liu et al.   SENSORS AND ACTUATORS B-CHEMICAL

Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm

(2011) Javad Abdi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Precipitation forecasting by using wavelet-support vector machine conjunction model

(2011) Ozgur Kisi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Comparative evaluation of back-propagation neural network learning algorithms and empirical correlations for prediction of oil PVT properties in Iran oilfields

(2011) Jalil Asadisaghandi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Modeling cognitive and emotional processes: A novel neural network architecture

(2010) Adnan Khashman   NEURAL NETWORKS

Optimization of Multireservoir Systems by Genetic Algorithm

(2010) Onur Hınçal et al.   WATER RESOURCES MANAGEMENT

A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients

(2008) A. Khashman   IEEE TRANSACTIONS ON NEURAL NETWORKS

Application of an emotional neural network to facial recognition

(2008) Adnan Khashman   NEURAL COMPUTING & APPLICATIONS

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT