New methods to train a BP network and their application
Jun Chen, Jing Ping Jiang · 2003
To estimate reaction consistency of the continuous stirred tank reactor (CSTR) system a kind of hybrid genetic algorithms (HGA) is presented. It combines the merits of BP algorithm and canonical genetic algorithms (CGA). The BP algorithm is inserted between the two reproduction parts-selection and reproduction, the results demonstrate the proposed HGAs can get quite good effect. We also replace CGA with an evolution strategy, which the simulation results show gives more accurate results.