Robust regularized extreme learning machine with asymmetric Huber loss function

Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India

(2018) Arvind Yadav et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Robust Support Vector Regression in Primal with Asymmetric Huber Loss

(2018) S. Balasundaram et al.   NEURAL PROCESSING LETTERS

River suspended sediment modelling using the CART model: A comparative study of machine learning techniques

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Detection of Sediment Trends Using Wavelet Transforms in the Upper Indus River

(2018) Zeeshan Tarar et al.   Water

A comparison of artificial intelligence models for the estimation of daily suspended sediment load: a case study on the Telar and Kasilian rivers in Iran

(2018) Samad Emamgholizadeh et al.   Water Science and Technology-Water Supply

Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?

(2018) Lin Chen et al.   IEEE Access

An Estimation of the Suspended Sediment Load Using Adaptive Network Based Fuzzy Inference System, Support Vector Machine and Artificial Neural Network Models

(2017) Meral Buyukyildiz et al.   WATER RESOURCES MANAGEMENT

Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction

(2017) Hamid Moeeni et al.   WATER RESOURCES MANAGEMENT

Active object recognition using hierarchical local-receptive-field-based extreme learning machine

(2017) Huaping Liu et al.   Memetic Computing

Suspended sediment concentration estimation by stacking the genetic programming and neuro-fuzzy predictions

(2016) Ehsan Shamaei et al.   APPLIED SOFT COMPUTING

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

(2016) Ravinesh C Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Forecasting daily streamflow using online sequential extreme learning machines

(2016) Aranildo R. Lima et al.   JOURNAL OF HYDROLOGY

Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification

(2015) Yicong Zhou et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Wavelet-entropy data pre-processing approach for ANN-based groundwater level modeling

(2015) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

(2015) Mohamad Javad Alizadeh et al.   MARINE POLLUTION BULLETIN

Evaluation of a Two-Stage SVM and Spatial Statistics Methods for Modeling Monthly River Suspended Sediment Load

(2015) Vahid Nourani et al.   WATER RESOURCES MANAGEMENT

Analyze EEG signals with extreme learning machine based on PMIS feature selection

(2015) Huanyu Zhao et al.   International Journal of Machine Learning and Cybernetics

Newton method for implicit Lagrangian twin support vector machines

(2015) M. Tanveer   International Journal of Machine Learning and Cybernetics

Asymmetric ν-tube support vector regression

(2014) Xiaolin Huang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Empirical analysis: stock market prediction via extreme learning machine

(2014) Xiaodong Li et al.   NEURAL COMPUTING & APPLICATIONS

Monthly discharge forecasting using wavelet neural networks with extreme learning machine

(2014) BaoJian Li et al.   Science China-Technological Sciences

On optimization based extreme learning machine in primal for regression and classification by functional iterative method

(2014) S. Balasundaram et al.   International Journal of Machine Learning and Cybernetics

Fuzzy extreme learning machine for classification

(2013) W.B. Zhang et al.   ELECTRONICS LETTERS

1-Norm extreme learning machine for regression and multiclass classification using Newton method

(2013) S. Balasundaram et al.   NEUROCOMPUTING

Kernel-based extreme learning machine for remote-sensing image classification

(2013) Mahesh Pal et al.   Remote Sensing Letters

Estimation of Daily Suspended Sediment Load by Using Wavelet Conjunction Models

(2012) Jalal Shiri et al.   JOURNAL OF HYDROLOGIC ENGINEERING

On extreme learning machine for ε-insensitive regression in the primal by Newton method

(2012) S. Balasundaram et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches

(2012) Mustafa Demirci et al.   NEURAL COMPUTING & APPLICATIONS

Suspended sediment load prediction of river systems: An artificial neural network approach

(2011) A.M. Melesse et al.   AGRICULTURAL WATER MANAGEMENT

Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry

(2010) F.L. Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Daily river flow forecasting using wavelet ANN hybrid models

(2010) Niranjan Pramanik et al.   JOURNAL OF HYDROINFORMATICS

Sales forecasting using extreme learning machine with applications in fashion retailing

(2008) Zhan-Li Sun et al.   DECISION SUPPORT SYSTEMS

Estimation of daily suspended sediments using support vector machines

(2008) MESUT ÇIMEN   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Robust Regularized Kernel Regression

(2008) Jianke Zhu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS