Title: Estimation system of food texture using neural network and fuzzy logic

Authors: Shigeru Kato; Naoki Wada

Addresses: Department of Electrical Engineering and Information Science, Niihama College, National Institute of Technology, 7-1 Yagumo-cho, Niihama, Ehime, 792-8580, Japan ' Department of Electrical Engineering and Information Science, Niihama College, National Institute of Technology, 7-1 Yagumo-cho, Niihama, Ehime, 792-8580, Japan

Abstract: This paper discusses on a system which estimates food textures using hybrid model of neural network and fuzzy logic. The system consists of equipment which obtains a load change and a sound signal while a sharp probe is stabbing a food, and a computer system which estimates numerical degrees of the food textures. Firstly, the neural network assumes numerical membership degrees of the food. The fuzzy logic infers a numerical degree of the food texture considering the estimated membership degrees. In the experiment, the validity of our proposed system is discussed. Finally future prospect is mentioned.

Keywords: food texture; neural network; fuzzy logic.

DOI: 10.1504/IJSSC.2018.094478

International Journal of Space-Based and Situated Computing, 2018 Vol.8 No.2, pp.96 - 104

Received: 17 Jan 2018
Accepted: 06 May 2018
Published online: 03 Sep 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article