The Selection of Green Building Materials Using GA-BP Hybrid Algorithm

Author

Shi, Qian ; Xu, Yilong

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai, China

Volume

3

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

40

Lastpage

45

Abstract

Building construction has an enormous and increasing impact on environment, and sustainable construction can lead to environmental protection. At the same time, the selection of green building materials is a critical point to realize sustainable construction. In this paper, considering the properties of building materials, a systematic method based on life cycle assessment (LCA) theory is put forward to analyze the green performance of construction materials. To a further step, back propagation neural network (BPNN) and GA-BP hybrid algorithm are introduced to evaluate green building materials respectively. Finally, a case study is conducted in order to verify that this research is helpful for the construction professionals in selecting green construction material.

Keywords

backpropagation; building materials; construction; environmental factors; genetic algorithms; sustainable development; GA-BP hybrid algorithm; back propagation neural network; building construction; environmental protection; green building material; green construction material; green performance; life cycle assessment; material selection; sustainable construction; Building materials; Conducting materials; Costs; Environmental economics; Green buildings; Manufacturing processes; Neural networks; Performance analysis; Power generation economics; Raw materials; back propagation neural network (BPNN); genetic algorithm (GA); green building materials; life cycle assessment (LCA);

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.74

Filename

5376512