Comparative Study of Extreme Learning Machine using Various Computing Platforms

Computing Platforms ◽

Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study

2018 7th Brazilian Conference on Intelligent Systems (BRACIS) ◽

10.1109/bracis.2018.00091 ◽

2018 ◽

Author(s):

Elivelto Ebermam ◽

Gabriel G. De Angelo ◽

Helder Knidel ◽

Renato A. Krohling

Keyword(s):

Time Series ◽

Comparative Study ◽

Short Term Memory ◽

Time Series Prediction ◽

Short Term ◽

Term Memory ◽

Mode Decomposition ◽

Long Short Term Memory ◽

Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study

Earth Science Informatics ◽

10.1007/s12145-020-00508-y ◽

2020 ◽

Vol 13 (4) ◽

pp. 1237-1250

Author(s):

Deepak Kumar ◽

Thendiyath Roshni ◽

Anshuman Singh ◽

Madan Kumar Jha ◽

Pijush Samui

Keyword(s):

Deep Learning ◽

Comparative Study ◽

Gaussian Process ◽

Groundwater Depth ◽

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) ◽

Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement

10.1109/ispacs48206.2019.8986352 ◽

2019 ◽

Author(s):

Ryandhimas E. Zezario ◽

Join W. C. Sigalingging ◽

Tassadaq Hussain ◽

Jia-Ching Wang ◽

Yu Tsao

Keyword(s):

Comparative Study ◽

Speech Enhancement ◽

A Comparative study between Support Vector Machine (SVM) and Extreme Learning Machine (ELM) for Fault Detection in Pumps

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i48/107915 ◽

2017 ◽

Vol 9 (48) ◽

Author(s):

V Muralidharan ◽

V Sugumaran

Keyword(s):

Support Vector Machine ◽

Fault Detection ◽

Comparative Study ◽

Support Vector ◽

A comparative study on short-term PV power forecasting using decomposition based optimized extreme learning machine algorithm

Engineering Science and Technology an International Journal ◽

10.1016/j.jestch.2019.03.006 ◽

2020 ◽

Vol 23 (1) ◽

pp. 156-167 ◽

Cited By ~ 8

Author(s):

Manoja Kumar Behera ◽

Niranjan Nayak

Keyword(s):

Comparative Study ◽

Short Term ◽

Learning Machine ◽

Power Forecasting

Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks

Energy ◽

10.1016/j.energy.2017.05.196 ◽

2017 ◽

Vol 134 ◽

pp. 24-34 ◽

Cited By ~ 54

Author(s):

F. Kusumo ◽

A.S. Silitonga ◽

H.H. Masjuki ◽

Hwai Chyuan Ong ◽

J. Siswantoro ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Comparative Study ◽

Ceiba Pentandra ◽

Artificial Neural ◽

A comparative study of using Random Forests (RF), Extreme Learning Machine (ELM) and Deep Learning (DL) algorithms in modelling Roadside Particulate Matter (PM10 & PM2.5)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/476/1/012126 ◽

2020 ◽

Vol 476 ◽

pp. 012126

Author(s):

A Suleiman ◽

M R Tight ◽

A D Quinn

Keyword(s):

Deep Learning ◽

Particulate Matter ◽

Comparative Study ◽

Random Forests ◽

Comparative Study of Extreme Learning Machine and Support Vector Machine

Advances in Neural Networks - ISNN 2006 - Lecture Notes in Computer Science ◽

10.1007/11759966_160 ◽

2006 ◽

pp. 1089-1095 ◽

Cited By ~ 13

Author(s):

Xun-Kai Wei ◽

Ying-Hong Li ◽

Yue Feng

Keyword(s):

Support Vector Machine ◽

Comparative Study ◽

Support Vector ◽

Online sequential extreme learning machine in river water quality (turbidity) prediction: a comparative study on different data mining approaches

Water and Environment Journal ◽

10.1111/wej.12630 ◽

2020 ◽

Author(s):

Mohammad Zounemat‐Kermani ◽

Meysam Alizamir ◽

Marzieh Fadaee ◽

Adarsh Sankaran Namboothiri ◽

Jalal Shiri

Keyword(s):

Data Mining ◽

Water Quality ◽

Comparative Study ◽

River Water ◽

River Water Quality ◽

A Comparative Study of Extreme Learning Machine, Least Squares Support Vector Machine, Back Propagation Neural Network for Outlet Total Phosphorus Prediction

2018 Prognostics and System Health Management Conference (PHM-Chongqing) ◽

10.1109/phm-chongqing.2018.00128 ◽

2018 ◽

Author(s):

Tingting Yu ◽

Yun Bai

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Comparative Study ◽

Least Squares ◽

Total Phosphorus ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Support Vector ◽