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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32116


    Title: 以退火神經網路作建築空間配置
    Authors: 葉怡成
    Yeh, I-Cheng
    Contributors: 資訊管理學系
    Information Management
    Keywords: 建築;配置;退火神經網路;最佳化
    architecture;layout;annealed;network;optimization
    Date: 2005
    Issue Date: 2014-06-27 01:44:52 (UTC+8)
    Abstract: 建築機能單元的配置是一個重要的設計工作。在複雜的建築物中,好的配置設計在金錢與時間上的節省變得更為明顯。本研究將建築機能單元的配置公式化為一個組合最佳化問題,並採用融合了許多模擬退火與Hopfield神經網路的特徵的退火神經網路來求解,並以一個具有28個機能單元的綜合醫院診療大樓作個案研究,此外,也詳細探討退火神經網路的參數對解答品質的影響。研究結果顯示:(1) 退火神經網路對於解決建築機能單元的配置問題相當具有效率,(2) 無論參數組合為何,以30個隨機的初始狀態所得的合法解中之最佳解差異很小。
    Architecture layout design is an important design activity. The impact of good layout practices on money and time saving becomes more obvious in complex architecture. In this study, the layout problem was formulated as a combinatorial optimization pro
    Appears in Collections:[Department of Information Management] Journal Articles

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