Sequence-Based Prediction in Conceptual Design of Bridges

A fuzzy integrated methodology for evaluating conceptual bridge design

“…Boulanger and Hirt (1998) proposed a multi-sourced knowledge acquisition approach with application to human-based explanations in order to develop a design tool called FIBRES. Wang and Gero (1997) and Fu and Reich (1999) presented the application of a machine learning technique based on a sequence-based prediction method for the conceptual design of bridges. Reich (1993) developed a model by using a learning algorithm for the incorporation of aesthetic criteria between various design bridge elements particularly in the preliminary design of cablestayed bridges.…”

Computer based pedestrian landscape design using decision tree templates

“…A range of design problems from simple discrimination of feasible designs from infeasible ones [4] to complex tasks like optimizing architectural floor plans [3], completing partial room designs [5], and generating bridge designs [6,7] have already been investigated using these approaches. Readers are referred to [8 and references therein] for a thorough review of the applications of machine learning methods in design.…”