Selection Of The Building Structure Based On The Analytic Hierarchy Process And Neural Network Methods (basic)

In the early stage of the design process, the design of a building is a complex work. It needs various knowledge and professional experience for the structure design. Until now there is not a theory analysis it adequately. Especially in a place where the high earthquake has to be considered in the design as xi'an, the structure forms selection is more important, because it connected with the safety, applicability and economy of the whole building. So using the former persons' harvest, the economical evaluating index on the condition of safety and applicability is raised in this paper. And based on these indexes, the design data of some outstanding building has been collected as the expert databank. And the qualities of the ANN, storage dispersedly, management simultaneity, learn automatically, calculate quickly, response neatly, and so on, are adequately used in the research. Then using the MATLAB language, an economic evaluating artificial neural network system has been set up to analysis the economy of the upper structure and the basement. Because of the different using function and some artificial factors, different structure have different power to safety, applicability, economy and difficulty of construction. On the other side, some factors are fuzzy and cannot use an exact number to describe it. So in this paper, the fuzzy method and AHP have been used to deal with the multi- attribute problem. And the example using has been approved that both ANN and multi-attribute effectual process are effectual.