Estimation system of food texture using neural network and fuzzy logic. (2018)

• Record Type: Journal Article
• Authors: Kato, Shigeru; Wada, Naoki
• Is Part Of: International journal of space-based and situated computing. Volume 8:Number 2(2018)
• Page Start: 96
• Page End: 104
• Publication Date: 2018
• Subjects: food texture -- neural network -- fuzzy logic; Computer networks -- Periodicals; Wireless communication systems -- Periodicals; Interactive computer systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 2044-4893

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.