Intelligent control of a mobile vehicle using on-line learning.

• Autorzy: Sugisaka M. , Wang X.
• Języki publikacji: EN

Abstrakty

EN

In the past years, we have developed neural control strategies and relevant image processing methods. Neural control by a neurocomputer has been used in the mobile vehicle control system. The hardware neurocomputer RN-2000 is the kernel part of the system. The purpose of this paper is to solve the problem of how to realize the hardware neurocomputer by back-propagation (BP) neural network learning on-line. The strategy presented in this paper is based on modifying the past patterns and adjusting the content of the driving patterns by a new algorithm proposed. Learning happens during the driving procedure of the mobile vehicle. This research shows the possibility of the neurocomputer whose the BP neural network is inside to learn human knowledge on-line by the aid of software.

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 1999
• Tom: Vol. 25, nr 2
• Strony: 41--50
• Opis fizyczny: Bibliogr.9 poz., rys. 9

Twórcy

autor

Sugisaka M.

autor

Wang X.

• Department of Electrical and Electronic Engineering, Oita University, 700 Dannoharo Oita, 870-0911, Japan.