Yukio Hosaka

Empirical study on learning in fuzzy systems by rice taste analysis

Abstract The aim of this paper is to examine the ability of trainable fuzzy systems as approximators of non-linear mappings by computer simulations on real-life data. Fuzzy if-then rules with non-fuzzy singletons in the consequent part are adjusted by a gradient descent method in fuzzy systems. After examining the ability of fuzzy systems for numerical examples, we apply them to the modelling of the relation among six factors in the sensory test on rice taste. By computer simulations based on a random subsampling technique, it is shown that the performance of fuzzy systems is comparable to that of neural networks. It is also shown that pre-specified conditions such as a fuzzy partition, initial fuzzy if-then rules and the number of iterations have a significant effect on the performance of trained fuzzy systems.

Empirical study on learning in fuzzy systems

The authors examine the ability of fuzzy systems to function as approximators of nonlinear mappings by computer simulations on real-life data. The relation among six factors in a sensory test on rice taste is modeled by fuzzy systems with five input variables and a single output variable. Fuzzy if-then rules with nonfuzzy singletons in the consequent part are employed in fuzzy systems. A learning rule based on a descent method is applied to the consequent part of each fuzzy if-then rule. By a random subsampling technique, the performance of fuzzy systems for test data and training data is compared with that of multilayer neural networks. A simple method for specifying initial fuzzy if-then rules is proposed to improve the performance of fuzzy systems.<<ETX>>

Estimation of Plant Growth in Rice Field Based on Remote Sensing

Abstract In this paper, an estimation system of rice plant nitrogen contents in the whole rice field is discussed for a precision farming by using the remote sensing image. These images are taken at a panicle formation stage and a reduction division stage from a boundary of the rice field. These bird’s-eye view images are transformed to top views of a parallel projection to ease mapping. On parallel projected images, some combinations of two spectral images have significant correlation with the nitrogen contents. On the other hand, Hue and Saturation transformed from RGB color image have correlation with the nitrogen contents.