Title :
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
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);
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
DOI :
10.1109/AICI.2009.74
