摘要
针对强夯加固地基中的有效加固深度,传统方法建立的相关模型存在着一些局限性及缺点,而人工神经网络技术(ANN)是一种解决模型精确度和使用方便这两个方面矛盾的新途径,具有较高的实用性。
Aiming at the effective strengthen depth in strong rammer strengthen foundation, and the limitation and merits and defaults ofthe related model that built by using the traditional methods, but the artificial neural network technique（ANN） is a new way of solving the contradiction of model accuracy and using facility, and it has high practicability.
出处
《山西建筑》
2008年第7期135-136,共2页
Shanxi Architecture
关键词
强夯
神经网络
模型
strong rammer, neural network, model
