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Strategies for Optimizing Feed Rate of Fed-Batch Yeast Fermentation by Fuzzy-Neural Network
  • ISSN号:1004-9541
  • 期刊名称:《中国化学工程学报:英文版》
  • 时间:0
  • 分类:TQ018[化学工程]
  • 相关基金:Supported by the National Natural Science Foundation of China,No.29476248 and Trans-Century Training Program Foundation for the Talents by the State Education Commission.
中文摘要:

In this paper,a novel fuzzy neural network model,in which an adjustable fuzzy sub-space was designed by uniform design,has been established and used in fed-batch yeast fermentationas an example.A brand-new optimization sub-network with special structure has been built andgenetic algorithm,guaranteeing the optimization in overall space,is introduced for the feed rateoptimization.On the basis of the model network,the optimal substrate concentration and theoptimal amount of fed-batch at different periods have been studied,aided with the optimizationnetwork and the genetic algorithm separately.The above results can be used as a basis for theestablishment of a fuzzy neural network controller.

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期刊信息
  • 《中国化学工程学报:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科协
  • 主办单位:中国化学工业与化学工程学会
  • 主编:
  • 地址:北京东城区青年湖路13号
  • 邮编:100011
  • 邮箱:cjche@cip.com.cn
  • 电话:010-64519487/88
  • 国际标准刊号:ISSN:1004-9541
  • 国内统一刊号:ISSN:11-3270/TQ
  • 邮发代号:
  • 获奖情况:
  • 1998年化工系统优秀信息成果一等奖,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引(扩展库),英国高分子图书馆,日本日本科学技术振兴机构数据库,中国中国科技核心期刊
  • 被引量:385