Modified online sequential extreme learning machine algorithm using model predictive control approach

Author:

Wibawa Ignatius Prasetya DwiORCID,Machbub Carmadi,Rohman Arief Syaichu,Hidayat Egi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference96 articles.

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3. Building automation and control systems and performance optimization: A framework for analysis;Aste;Renewable & Sustainable Energy Reviews,2017

4. A new approach for data stream classification: Unsupervised feature representational online sequential extreme learning machine;Aydogdu;Multimedia Tools and Applications,2020

5. Self-driving cars: A survey;Badue;Expert Systems with Applications,2021

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1. Case Study: Jakarta AQI Classification Using Extreme Learning Machine Method with Oversampling Technique;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

2. Denoising Autoencoder - Extreme Learning Machine for Improving the Classification Performance Integrated with IoT Water Quality Systems;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

3. A novel data-driven method for fuel-consumption prediction based on fast converged kernel extreme learning machine;Measurement Science and Technology;2023-05-05

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