Publications / 2000 Proceedings of the 17th ISARC, Taipei, Taiwan

The Searching Mechanism of Artificial Neural Networks in Case-Based Building Design

Ju-Hung Lan, Mao-Lin Chiu, Chien-Hung Wei
Pages 1-6 (2000 Proceedings of the 17th ISARC, Taipei, Taiwan, ISBN 9789570266986, ISSN 2413-5844)
Abstract:

A Case-based reasoning (CBR) system generally includes three parts: case recall, case adaptation, and a case library. The objective of this research is to develop a searching mechanism for the case recall of a CBR system in the context of building design. Our work focuses on developing the similarity relationship among building design cases. The similarity relationship serves as a searching mechanism in retrieving relevant design cases. In this paper, we present an approach to applying artificial neural networks (ANN) to serve as a searching mechanism of a CBR system. The results of this research include: 1) to present suitable knowledge representations of various design cases; and 2) to develop a searching mechanism of a CBR system.

Keywords: Artificial Neural Network, Case-based Reasoning, Building Design