@inproceedings{83b9cf2a92eb406daeb49ba7a9f11e4f,
title = "Fusion algorithm based on fuzzy neural networks",
abstract = "The problem of optimal fusion of several predictive machine learning regression models is considered. The method of combining different predictive models based on additive fuzzy systems is presented. The framework of model fusion based on fuzzy neural networks is described and the appropriate algorithms are derived. Learning process justifications and the requirement of the separate fusion set are discussed. The presented models are supported with the real world application example of robotic hand control.",
keywords = "data fusion, fuzzy associative memory, machine learning, model fusion, predictive ensembles",
author = "Alexey Natekin and Alois Knoll",
year = "2013",
doi = "10.1109/WISP.2013.6657480",
language = "English",
isbn = "9781467345439",
series = "2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings",
publisher = "IEEE Computer Society",
pages = "43--47",
booktitle = "2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 - Proceedings",
note = "2013 IEEE 8th International Symposium on Intelligent Signal Processing, WISP 2013 ; Conference date: 16-09-2013 Through 18-09-2013",
}