摘要
针对观测数据中可能存在的异常数据 ,提出了一种异常数据检测和剔除的预处理方法 ,并将它成功地应用于发酵过程中菌体生长的观测数据预处理 。
An approach to data preprocessing was proposed to check and eliminate exceptional data in the actual observation data. It was successfully applied to preprocess the observation data of cell growth in the course of glutamic acid fermenting. A fermentation dynamics model of high matching precision was obtained then.
出处
《浙江工业大学学报》
CAS
2003年第4期464-467,共4页
Journal of Zhejiang University of Technology
