Paper Info
Title
Evaluation of Index for Green Zoology Building and Its Definite Algorithm in Path Analysis
Abstract
With the need of scientific and rational evaluation mechanisms, green zoology building is the development trend of building construction. Based on the basic concept of the green zoology buildings with China's national conditions, this paper discusses the index system of green zoology building and its calculation. The feature of the calculation is that the second level index is a virtual no observational data, and the summary coefficient is calculated in accordance with samples instead of the prior designated. In the view of the neural network structure, it is an unsupervised learning neural network. Making use of the method of path analysis and the combination of vector length constraint and the prescription constraint, a deterministic algorithm is established. Our algorithm can not only scientifically determine the summary coefficient but also calculate the relations between the indexes, so as to provide a comprehensive and profound analysis method of green building evaluation index system.
Year
DOI
Venue
2008
10.1109/ICNC.2008.542
ICNC
Keywords
Field
DocType
definite algorithm,neural network structure,summary coefficient,deterministic algorithm,neural network,path analysis,index system,level index,green zoology building,prescription constraint,green building evaluation index,zoology,neural nets,computational modeling,building construction,indexation,mathematical model,water conservation,unsupervised learning,indexes
Euclidean vector,Green building,Computer science,Unsupervised learning,Artificial intelligence,Zoology,Deterministic algorithm,Artificial neural network,Mathematical optimization,Algorithm,Index system,Path analysis (statistics),Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Qian Ding100.68
Qiaoling Tong212.72
Hengqing Tong35615.35