摘要
本文采用人工神经网络模型,建立了聚丙烯纤维混凝土各个组分与混凝土后期性能的复杂的非线性关系,具有较高的精度,是聚丙烯纤维混凝土配合比设计的一种理想方法。
In order to establish the non-linear complex relationship of every composition of polypropylene fiber reinforced concrete and its later properties, the artificial neural network is used in this paper and it meets the demand of precision in actual project ,so the method of artificial neural network model is a good method used in polypropylene fiber concrete
出处
《低温建筑技术》
2003年第6期15-17,共3页
Low Temperature Architecture Technology
