基于群体智能算法的微生物发酵模拟仿真  

Simulation of Microbial Fermentation Based on Swarm Intelligence Algorithm

作　　者：彭建升 PENG Jiansheng(Scientific Research Department,Putian University,Putian Fujian 351100,China)

机构地区：[1]莆田学院科研处,福建莆田351100

出　　处：《莆田学院学报》2018年第5期66-69,共4页Journal of putian University

基　　金：福建省自然科学基金项目(2015J05072);福建省中青年教师教育科研项目(JA14280);莆田学院国家基金预研项目(2015087);莆田学院科研启动费项目(2014055)

摘　　要：把微生物发酵罐当作黑箱,应用BP神经网络学习发酵输入输出数据,建立微生物发酵过程模型。学习训练合格的BP神经网络作为免疫遗传算法的适应度函数,模拟群体遗传进化过程,对微生物发酵过程进行优化控制。实验结果表明,联合应用BP神经网络与免疫遗传算法优化发酵过程能显著提高短杆菌208 (Bacillus brevis)的产素水平。The miicrobial fcrmicntor was regarded as black box,and the miicrobial fcrmicntation process miodcl was established by using BP neural network to learn fcrmicnting input and output data.The trained BP neural network was used as fitness function of immune genetic algorithm,which simulated population evolution process to optimially control of miicrobial fcrmicntation process.The combination ofBP neural network and immiune genetic algorithmi could effectively increase the production level of Bacillus brevis 208.

关 键 词：群体智能算法 BP神经网络 免疫遗传算法 微生物 发酵工程 

分 类 号：TQ920.1[轻工技术与工程—发酵工程]