Relevant floor plans can be generated before planning the layout of
furniture pieces. Recently, Merrell et al. [2010] proposed a data-
driven method to generate residential building layouts. In their
work, 120 examples of architectural programs are used to train a
Bayesian network that captures the relationships among different
rooms. Given certain user requirements as priors, the Bayesian net-
work can then be used to generate a floor plan, which is iteratively
modified to incorporate desirable human factors. The result is a
synthesized floor plan for a residential building.
We also note the work of Chun and Lai [1997], which encapsu-
lates architectural design knowledge into an expert system. The
system...
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Energy Conservation in the Wood-Furniture Industry
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