Elecmcal and Computer Engineering
M. Kemal Cılız · 2012
A two-level neural net system is proposed as a learning controller for a mobile robot. The lower level subsystem adapts to environmental changes while the higher level subsystem maintains a library of connection weights for a variety of distinct environments and loads the approapriate set of coefficients to the lower level following the recognition of the current environment. Included in the paper is the conceptual design of the system, as well as a qualitative analysis of the lower level subsystem convergence performance using simulation results.