Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Год издания: 2020

Идентификатор DOI: 10.1088/1757-899X/734/1/012087

Аннотация: In this study the confidence-based voting of neural net classifier and fuzzy logic based classifiers is proposed. In this method, for the cases when the fuzzy system is confident enough in its decision, i.e. when the membership value is large enough, fuzzy system makes the decision, otherwise, the neural net is applied. This allowsПоказать полностьюclassifying most of the objects by explainable interpretable fuzzy system, while using the more accurate neural network for the most difficult cases. The experiments are performed on a set of test datasets, and two problems of identifying the emotional state of a person using the data collected by non-contact vital Doppler sensors. The results show that this setup allows not only improving the classification quality, but also allows to explain the classification process the explanation of the classifier functioning.

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: 734

Номера страниц: 12087

Издатель: Institute of Physics and IOP Publishing Limited

• Stanovov V (Reshetnev Siberian State University of Science and Technology)
• Akhmedova Sh (Reshetnev Siberian State University of Science and Technology)
• Kamiya Y (Aichi Prefectural University)
• Krasnoyarsk Science and Technology City Hall of the Russian Union of Scientific and Engineering Associations

• Ядро РИНЦ (eLIBRARY.RU)