Papers by Keyword: Nonlinear Prediction

Abstract: This manuscript makes experiments on the relation between each index and fly-ash concrete strength, such as W/B, Sa, S/A and so on. At the same time we applicate artificial neural networks into HPFC The main research is on the relationship between component material and performance of the high-performance fly ash concrete, and also on the fly ash high-performance concrete quality control system and method, which promotes fly ash in foundation and basement construction engineering application. This text introduces the treatment technology of the non-linear artificial neural network, utilizing mixing ratio of existing concrete (import) and data as the performance index (output) to train the network, setting up concrete to non-linear import--Output mode relation, constructing concrete performance model, promoting prediction precision of concrete performance further.