H. Tamura

An improved adaptive neuro-fuzzy inference system (ANFIS) for the application of time series prediction. Expand

This paper presents a new multi-layered artificial immune system architecture using the ideas generated from the biological immune system for solving combinatorial optimization problems. Expand

We propose a modified error function with two terms to solve the local minima problem caused by update disharmony between weights connected to the hidden layer and the output layer. Expand

We propose an improved lateral interaction artificial immune system model that has stronger noise tolerance ability and is more effective at recognizing noisy patterns than that of our previous models. Expand

In this paper, we introduce the mouse cursor control system for Amyotrophic Lateral Sclerosis patients using electrooculogram signals. Expand

The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating people's intention states via a computer into performing specific actions. Expand

A method of supervised learning for multilayer artificial neural networks to escape local minima by modifying gain parameters in a gradient ascent direction of the error measure. Expand