@inproceedings{ecd10da3ee1f40418f43839e1a9d4513,
title = "Imputation of missing values by inversion of fuzzy neuro-system",
abstract = "Incomplete data are common and require special techniques. The essential techniques are: marginalisation, imputation, and rough sets. The paper presents the imputation by inversion of the neuro-fuzzy system. First the neuro-fuzzy systems is trained with complete data. Next the system is inverted and the missing values are imputed. The complete and imputed data are used to train the final neuro-fuzzy system. The technique is limited to data items with one missing value. The paper is accompanied by numerical examples and statistical verification.",
keywords = "Big-Bang-Big-crunch, Evolutionary optimization, Gradient descent, Memetic algorithm",
author = "Krzysztof Siminski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015 ; Conference date: 06-10-2015 Through 09-10-2015",
year = "2016",
doi = "10.1007/978-3-319-23437-3\_49",
language = "English",
isbn = "9783319234366",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "573--582",
editor = "Tadeusz Czach{\'o}rski and Aleksandra Gruca and Agnieszka Brachman and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man{\textendash}Machine Interactions - 4th International Conference on Man{\textendash}Machine Interactions, ICMMI 2015",
address = "Germany",
}