文献类型：会议论文

英文题名：A Novel Hybrid-Genetic-Algorithm Process Applied in Blood-Glucose Soft Sensing

作者：Ma, Dongping[1];Wang, Xuan[1];Cao, Hui[1];Hang, Heping[1];Han, Yuzhang[2];Han, Jianguo[2]

通讯作者：Ma, DP[1]

机构：[1]Beijing Union Univ, Biochem Engineer Coll, Beijing, Peoples R China;[2]Univ Vienna, Inst Comp Sci, Vienna, Austria

第一机构：北京联合大学生物化学工程学院

通讯机构：[1]corresponding author), Beijing Union Univ, Biochem Engineer Coll, Beijing, Peoples R China.|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;

会议论文集：2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR)

会议日期：MAR 06-07, 2010

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：Real-time-BP Hybrid-genetic-algorithm; Soft-sensingBlood-glucose Grid computing; Embedded-FPGA-system

摘要：A novel hybrid-genetic-algorithm process in multi-objective parallel mode (NHMGA), operated for tracking a 2-period-BP model-mapping, supported by optimally equipped Grid-computing framework, is proposed. This NHMGA is specially designed for personal on-line and real-time bio-information modeling which is successfully applied in soft-sensing of blood-glucose. The related application example and its result analysis are described. Owing to the non-invasive soft-sensing based on the NHMGA which possesses the advantages, such as resource-sharing, high speed and accuracy of function approach, flexible real-time model-tracking, the number of blood-taking-times of every patient with serious diabetes can be reduced onto 30% of the original one per day, thus the on-Iine-diagnosis-medical-measurement based on the NHMGA is very strongly valued in Asia and Europe, and sequentially developed in the CAD-grid (CAD-G) 2# ("China-Austria-Data-Grid"-cooperation-project) which supports the NHMGA using a Grid-computing framework optimally equipped by workflow engine WEEP, and CEFSP 200805# (Chinese Education Foundation Science Project) which developed the NHMGA tool-software realized in a PC-embedded-FPGA-system (PEF), thus, the NHMGA is facing a wide application future linked with the fields such as real-time tracking, analyzing, diagnosis and control of bio-information process, industrial automation process, natural synusiologic process.