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An ELM based Multi-Agent System and its applications to power generation

  • Published:2017-08-29 Issue:3 Volume:11 Page:297-305
  • ISSN:1872-4981
  • Container-title:Intelligent Decision Technologies
  • language:
  • Short-container-title:IDT

Author:

Yaw Chong Tak1,Wong Shen Yuong1,Yap Keem Siah1,Yap Hwa Jen2,Amirulddin Ungku Anisa Ungku3,Tan Shing Chiang4

Affiliation:

1. Department of Electronics and Communication Engineering, Universiti Tenaga Nasional, Malaysia

2. Faculty of Engineering, University of Malaya, Malaysia

3. Department of Electrical Power Engineering, Universiti Tenaga Nasional, Malaysia

4. Faculty of Information Science and Technology, Multimedia University, Malaysia

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference41 articles.

1. Huang GB, Bai Z, Kasun LLC, Vong CM. Local receptive based extreme learning machine. IEEE Computational Intelligence Magazine 2015 May; 10(2).

2. An insight into extreme learning machines: Random neurons, random features and kernels;Huang;CognComput,2014

3. Optimization method based extreme learning machine for classification;Huang;Neurocomputing,2010

4. Extreme learning machine for regression and multiclass classification;Huang;IEEE Trans Systems, Man, and Cybernetics, Part B: Cybernetics,2012

5. Convex incremental extreme learning machine;Huang;Neurocomputing,2007

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1. A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning;Multi-Agent Technologies and Machine Learning;2023-01-25
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