摘要
文章分析介绍了高性能混凝土的各种影响因素,分析了优化理论中涉及的各种配方设计的运用方法、优缺点等,并详细说明和分析了试验数据的优化分析问题,如回归分析、神经网络、主成分分析法等。指出应用主成分分析法和神经网络结合是研究高性能混凝土配方优化的新的可能途径。
All the factors that have influence on the quality of high performance concrete are discussed in this thesis. Both the advantages and disadvantages, and practical applications of those recipes that are concerned with the optimizing designs are clearly stated, The details about the optimizing methods of those test statistics through different ways as regression analysis, artificial neural networks, and principal component analysis and so on are also discussed and analyzed. It is a new possible way to study the optimizing methods with a combination of principal component analysis and artificial neural networks method.
出处
《混凝土》
CAS
CSCD
北大核心
2006年第9期72-74,共3页
Concrete
关键词
高性能混凝土
配方优化
主成分分析法
神经网络
HPC
recipe optimizing
principal component analysis
artificial neural networks
