Coupling Evaluation of Concrete Quality Based on PCA-WNN

摘要

Concrete quality evaluation is an important basic work for the concrete environmental management and protection. This paper presents a new concrete quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of concrete quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of indicators, the representative indexes obtained were standardized and imported into the wavelet network neural model, the results of network study that used for the concrete quality comprehensively monitoring.