Proceedings of ELM-2017

This book contains some selected papers from the International Conference on Extreme Learning Machine (ELM) 2017, held in Yantai, China, October 4-7, 2017. The book covers theories, algorithms and applications of ELM. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive in...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Cao, Jiuwen (Editor), Vong, Chi Man (Editor), Miche, Yoan (Editor), Lendasse, Amaury (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Proceedings in Adaptation, Learning and Optimization, 10
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:Full-text access
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Table of Contents:
  • Adaptive Control of Vehicle Yaw Rate with Active Steering System and Extreme Learning Machine
  • Sparse representation feature for facial expression recognition
  • Protecting User Privacy in Mobile Environment using ELM-UPP
  • Application Study of Extreme Learning Machine in Image Edge Extraction
  • A Normalized Mutual Information Estimator Compensating Variance Fluctuations
  • Reconstructing Bifurcation Diagrams of Induction Motor Drives using an Extreme Learning Machine
  • Ensemble based error minimization reduction forELM
  • The Parameter Updating Method Based onKalman Filter for Online Sequential ExtremeLearning Machine
  • Extreme Learning Machine BasedShip Detection Using Synthetic Aperture Radar.

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