Extreme learning machine with dead zone and its application to WiFi based indoor positioning

@article{Lu2014ExtremeLM,
  title={Extreme learning machine with dead zone and its application to WiFi based indoor positioning},
  author={Xiaoxuan Lu and Chengpu Yu and Han Zou and Hao Jiang and Lihua Xie},
  journal={2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)},
  year={2014},
  pages={625-630}
}
Extreme learning machine (ELM) as an emergent technology has shown its good performance in regression applications as well as in large dataset classification applications. It has been broadly embedded in many applications due to its fast speed of computation and accuracy. How to make good use of machine learning techniques in Indoor Positioning System (IPS) is a hot research topic in recent years. Some existing IPSs have already adopted ELM, but it suffers from signal variation and… CONTINUE READING

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