首页 | 本学科首页   官方微博 | 高级检索  
     

腊样芽孢杆菌DM423分批培养过程中生物量的人工神经网络软测量
引用本文:李冰,李琳,郭祀远,陈玲,黎锡流.腊样芽孢杆菌DM423分批培养过程中生物量的人工神经网络软测量[J].河南工业大学学报(自然科学版),2004,25(4):39-43.
作者姓名:李冰  李琳  郭祀远  陈玲  黎锡流
作者单位:华南理工大学,食品与生物工程学院,广东,广州,510640
基金项目:国家自然科学基金,国家自然科学基金
摘    要:利用静态多层前馈神经网络模型对腊样芽孢杆菌(Baeillus cereus DM423)(简称DM423)分批培养过程的生物量进行软测量.构建了以培养时间、温度、pH、溶氧和葡萄糖浓度作为网络的输入变量,生物量浓度为输出变量的5-5-1型的3层前馈网络,网络对DM423的生物量浓度估算精确度较好.分别对葡萄糖浓度、pH和溶氧的实际测量值施加干扰,对网络的鲁棒性进行检测,结果表明,所建立的神经网络具有一定的抗干扰能力.

关 键 词:多层前馈神经网络  软测量  生物量  鲁棒性
文章编号:1671-1629(2004)04-0039-05
修稿时间:2004年8月30日

NEURAL NETWORK BASED ON SOFTWARE SENSOR FOR BAEILLUS CEREUS DM432 BIOMASS DURING BATCH CULTIVATION
LI Bing,LI Lin,GUO Si-yuan,CHEN Ling,LIU Xi-liu.NEURAL NETWORK BASED ON SOFTWARE SENSOR FOR BAEILLUS CEREUS DM432 BIOMASS DURING BATCH CULTIVATION[J].Journal of Henan University of Technology Natural Science Edition,2004,25(4):39-43.
Authors:LI Bing  LI Lin  GUO Si-yuan  CHEN Ling  LIU Xi-liu
Abstract:The biomass concentration of Baeillus cereus DM423 (DM423) during the batch cultivation was measured by feedforward multilayer neural network based on software sensor. A 5-5-1 feedforward neural network was constructed with five inputs of culture time, temperature, pH, dissolved oxygen and glucose concentration and one output of DM423 biomass concentration. The biomass concentration was fitted well with the experimental value by the neural network. The robustness of the neural network was tested applying perturbation to the experimental values of glucose concentration, pH and dissolved oxygen. The results showed that the constructed neural network offered a good ability of resisting interference.
Keywords:feedforward multilayer neural network  software sensor  biomass  robustness
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号