摘要
作者对底框结构抗震性能进行了数值试验,提出了基于二次综合评判的模糊神经网络预测方法,并以试验资料进行训练和预测。结果表明,该方法对底框结构抗震性能预测效果较好,适宜于该类结构方案选择时应用。
In the paper the author carried on the numeral test of the seismic performance for the frame structure of bottom story and put forward a prediction method on the basis of the fuzzy neural network of the two times synthesis judges. Then the method was trained and predicted by testing the materials. The result shows that this method has better effect for prediction of the seismic property for the frame structure of bottom story and is suitable for application in the scheme selection of this kind of structure.
出处
《建筑科学》
北大核心
2005年第2期19-21,7,共4页
Building Science
基金
四川省自然科学基金资助(212-116800)
