کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6865639 | 679059 | 2015 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling and optimization of the glutamic acid fermentation process using computational intelligence techniques
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Modeling and optimization of the glutamic acid fermentation process using computational intelligence techniques Modeling and optimization of the glutamic acid fermentation process using computational intelligence techniques](/preview/png/6865639.png)
چکیده انگلیسی
This paper presents a framework for modeling and optimizing the glutamic acid fermentation process using computational intelligence techniques. Considering the special characteristics of such an industrial process, we propose a two-phase optimization strategy to maximize the conversion rate and product concentration of the glutamic acid. Neural network ensembles and an improved Differential Evolutionary Algorithm (DEA) with a non-inferior sorting scheme and niche technology are employed for problem solving. This work provides an approach for design of a model-free optimal control system for the fed-batch fermentation process. Experimental results are promising and demonstrate the applicability of the proposed modeling and optimization techniques for real world applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 169, 2 December 2015, Pages 403-411
Journal: Neurocomputing - Volume 169, 2 December 2015, Pages 403-411
نویسندگان
Shouping Guan,