Proceedings of ELM-2017

• Corporate Author: SpringerLink (Online service)
• Other Authors: Cao, Jiuwen (Editor, http://id.loc.gov/vocabulary/relators/edt), Vong, Chi Man (Editor, http://id.loc.gov/vocabulary/relators/edt), Miche, Yoan (Editor, http://id.loc.gov/vocabulary/relators/edt), Lendasse, Amaury (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• 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.

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...

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.