| 書目名稱 | Modelling and Optimization of Biotechnological Processes | | 副標(biāo)題 | Artificial Intellige | | 編輯 | Lei Zhi Chen,Xiao Dong Chen,Sing Kiong Nguang | | 視頻video | http://file.papertrans.cn/637/636601/636601.mp4 | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods,inparticular,geneticalgorithmsandneuralnetworks,for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the ?nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti?cial intelligence, system identi?cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled b | | 出版日期 | Book 2006 | | 關(guān)鍵詞 | Monitor; algorithm; algorithms; artificial intelligence; computer-aided design (CAD); control; genetic alg | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-32493-5 | | isbn_softcover | 978-3-642-06792-1 | | isbn_ebook | 978-3-540-32493-5Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2006 |
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