Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The interest of emotional lighting with the LED is increasing. To control the emotional lighting a fuzzy neural network for emotional colors reasoning is designed. This studty proposes a fuzzy neural network with interval sets for emotional color reasoning. The mono image scale and the adjective image scale are used to extract the emotional colors in accordance with emotional languages. The uncertainty of emotional languages is expressed by membership functions and the fuzzy lookup table is made by matching the emotional colors. The consequence of fuzzy neural network is expressed by polynomial with interval set whose the parameters are learned by BP algorithm. The designed fuzzy neural network is evaluated with the data. The experiment result showed that emotional lighting system through the proposed fuzzy neural network can be controlled and adjusted in some situations through learning process with interval sets to handle emotional uncertainty. The proposed fuzzy neural network with interval sets can be applied to various fields with uncertainty.
How to cite this article:
Keon-Jun Park and Ho-Joon Kim. Fuzzy Neural Networks with Interval Set for Emotional Color Reasoning.
DOI: https://doi.org/10.36478/jeasci.2018.1359.1364
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.1359.1364