Application of Variable Selection Method Based on Genetic Algorithm in Marine Enzyme Fermentation

G. Liu, P. Yang, Y. Ding, C. Mei, Y. Huang, X. Zhu
2017 Chemical Engineering Transactions  
Genetic algorithm (GA), a global searching method, is applied to select the variables in soft sensing of marine enzyme fermentation. Compared with traditional methods of MIV and PCA, the optimal variables selected by GA have clear physical meaning and fewer numbers on the basis of variable selection frequency. After that, a soft sensing model based on BP neural network is established and a BP-GA soft sensing model is realized. Soft sensing results of enzyme activity show that, BP-GA model can
more » ... ovide better non-linear fitting ability and higher soft sensing accuracy, compared with the models of BP, BP-MIV and BP-PCA.
doi:10.3303/cet1761288 doaj:ca6ac28a49594d88873cbc4d4a8a4cb6 fatcat:qgfd5hv5nfaifozjicbk4gpkmu