摘要
分析了规范经验公式地基液化判别的局限性,提出应用改进的IRN模型进行地基液化判别的新思路。通过实例验证,该模型可达到较好的效果,能作为规范经验公式有力的补充。
The limitation of the ground liquefaction estimation under the code empirical formula is analyzed and the concept of applying the improved Internally Recurrent Net （IRN） model to estimate ground liquefaction is brought out. The actual examples verify that the model can reach good results and can be employed as a complement to the code empirical formula.
出处
《安徽建筑》
2006年第4期118-120,共3页
Anhui Architecture
关键词
人工神经网络
IRN模型
地基液化
artificial neural network
IRN model
ground liquefaction
