PRACTICAL APPLICATION OF CONCRETE BRIDGE RATING EXPERT SYSTEM USING HIERARCHICAL NEURAL NETWORKS

Abstract

The aim of this study is to develop a practical application of concrete bridge rating expert system. In this study, an explanation function and a knowledge acquisition support function are newly developed. The former function allows a fuzzy reasoning process of the expert system to be explained to system users. In the latter function, a learning method proposed in this study is applied to allows an acquired knowledge to be concretely shown to users. Furthermore, comparisons between the diagnostic results before learning and the ones after learning are presented so as to demonstrate the validity of learning capability of this system.