Hybrid AI system for retaining wall selection

This paper presents a hybrid artificial intelligence (AI) system capable of integrating techniques of case-based reasoning, rule induction and expert system, using them for knowledge acquisition and problem solving of selecting appropriate retaining wall systems at the project planning stage. The proposed hybrid system can eliminate the bottleneck of knowledge acquisition in developing a knowledge-based system and improve the solution quality of the AI-based system. Test results indicate that solutions generated by the proposed hybrid system are better than those generated by using a single technique.