Chaos Optimum and Neural Network Model for Data Processing in Nondestructive Testing of Concrete Intensity

A chaos optimum and neural network calculation model was built based on plenty of testing data of concrete intensity to cover the shortage of single BP neural network, such as slow astringency and easy torpidity. Compared with the algorithm stipulated in the current concrete nondestructive testing regulation, the model built was more simple and rapid for operation and higher in precision and reliability.