[1]GUO Qiang,ZOU Guangtian.Prediction methods for extension architecture programming based on decision tree classification[J].CAAI Transactions on Intelligent Systems,2017,12(1):117-123.[doi:10.11992/tis.201610015]
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Prediction methods for extension architecture programming based on decision tree classification

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 1 Page number: 117-123 Column: 学术论文—智能系统 Public date: 2017-02-25
Title:
Prediction methods for extension architecture programming based on decision tree classification
Author(s):
GUO Qiang1; 2; 3;  ZOU Guangtian1; 2; 3
1. School of Architecture, Harbin Institute of Technology, Harbin 150006, China;
2. Architectural Planning and Design Institute, Harbin Institute of Technology, Harbin 150006, China;
3. Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150006, China
Keywords:
extension architectural program; decision tree; classification; indicators prediction; extension transformation
CLC:
TP18;TU18
DOI:
10.11992/tis.201610015
Abstract:
To improve the prediction ability of architects, a prediction method for extension architecture programming (EAP) based on decision tree classification was proposed. First, the architectural case data from the Internet were obtained by data acquisition software, and stored in an architectural case database after data preprocessing. Second, through evaluation characteristics selection, evaluation information element set generation and decision tree construction, the decision tree model was discovered. Then, the performance indicators of the current project were predicted using this model, providing transformation approaches if the result did not satisfy the requirement. This study indicates that the proposed method can effectively improve an architects ability to use Internet data and mine decision tree classification knowledge, thus accelerating the process of computer aided EAP.
References:
[1] 连菲. 可拓建筑策划的基本理论与应用方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2010: 25-27. LIAN Fei. The study on basic theory and applying methods of extension architectural program[D]. Harbin: Harbin Institute of Technology, 2010: 25-27.
[2] 魏力恺. 基于CBR和HTML5的建筑空间检索与生成研究[D]. 天津: 天津大学, 2013: 108-114. WEI Likai. Architectural spatial retrieval and generating based on CBR and HTML5[D]. Tianjin: Tianjin University, 2013: 108-114.
[3] 孟洁. 基于案例推理的建筑方案设计流程研究[D]. 哈尔滨: 哈尔滨工业大学, 2014: 56-76. MENG Jie. Research on architectural scheme design process using case-based reasoning[D]. Harbin: Harbin Institute of Technology, 2014: 56-76.
[4] 段正励, 刘抚英. 杭州市工业遗产综合信息数据库构建研究[J]. 建筑学报, 2013, 33(10): 45-48. DUAN Zhengli, LIU Fuying. Study on the comprehensive information database of industrial heritage in Hangzhou[J]. Architectural journal, 2013, 33(10): 45-48.
[5] 张颉, 李昌华, 李智杰. 基于拓扑特征的建筑信息模型检索方法[J]. 计算机应用研究, 2016, 33(3): 916-921. ZHANG Jie, LI Changhua, LI Zhijie. Building information model retrieval based on topological features[J]. Application research of computers, 2016, 33(3): 916-921.
[6] 孙澄,韩昀松.光热性能考虑下的严寒地区办公建筑形态节能设计研究[J].建筑学报,2016(2):38-42. SUN Cheng, HAN Yunsong. A study on energysaving design of office building forms in the severe cold region regarding daylighting and thernal performanc[J].Architectural journal,2016(2):38-42.
[7] 杨春燕, 李小妹, 陈文伟, 等. 可拓数据挖掘方法及其计算机实现[M]. 广州: 广东高等教育出版社, 2010: 206-214.
[8] 赵燕伟, 任设东, 陈尉刚, 等. 基于改进BP神经网络的可拓分类器构建[J]. 计算机集成制造系统, 2015, 21(10): 2807-2815. ZHAO Yanwei, REN Shedong, CHEN Weigang, et al. Extension classifier construction based on improved BP neural network[J]. Computer integrated manufacturing systems, 2015, 21(10): 2807-2815.
[9] 李亚飞, 刘高焕, 黄翀. 基于决策树分类的云南省迪庆地区景观类型研究[J]. 资源科学, 2011, 33(2): 328-334. LI Yafei, LIU Gaohuan, HUANG Chong. Exploring landscapes based on decision tree classification in the Diqing region, Yunnan province[J]. Resources science, 2011, 33(2): 328-334.
[10] 王茂军, 宋国庆, 许洁. 基于决策树法的北京城市居民通勤距离模式挖掘[J]. 地理研究, 2009, 28(6): 1516-1527. WANG Maojun, SONG Guoqing, XU Jie. Data mining on commuting distance mode of urban residents based on the analysis of decision tree[J]. Geographical research, 2009, 28(6): 1516-1527.
[11] YANG Chunyan, CAI Wen. Extenics: theory, method and application[M]. Beijing: Science Press, 2013: 20-27.
[12] HAN Jiawei, KAMBER M, PEI Jian. 数据挖掘: 概念与技术[M]. 范明, 孟小峰, 译. 3版. 北京: 机械工业出版社, 2012: 55-65.
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