NDLI: On time-variable BP neural network with application in body-bio-model tracking

Content Provider	IEEE Xplore Digital Library
Author	Hui Cao Dongping Ma Xuan Wang Jinhui Shen Yuzhang Han Jianguo Han
Copyright Year	2010
Description	Author affiliation: Biochemical Engineer College, Beijing Union University, China (Hui Cao; Dongping Ma; Xuan Wang; Jinhui Shen) \|\| Institute of Scientific Computing, University of Vienn, Austria (Yuzhang Han; Jianguo Han)
Abstract	A novel structure with time-memory function and time-shift terms of dynamic BP neural network (NDBP) using process-tracking training-algorithm based on the system-identification and statistic theory is developed in the CAD-grid 2# (China-Austria-Data-Grid-cooperation-project) and CEFSP 2008 5# (Chinese Education Foundation Science Project). This NDBP is used specially for real-time modeling for tracking the strong-time-variable dynamic process. Owing to its memory- and forgetting- ability, the newer output errors strongly effect the weight-correction. Both advantages, robust process-function approach and high speed process-characterisytic tracking, are possessed by the NDBP facing the urgent requirement of the research fields such as bio-chemical-process analysis, on-line diagnosis medical measurement, industrial adaptive process control, nature synusiologic development monitoring, and so on. The basic principle, algorithm composition and description, execution effect and typical application in medical measurement are introduced. The entire algorithem is supported by the newly developped Cloud-computing system.
Starting Page	4114
Ending Page	4117
File Size	227939
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5584889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Dynamic Time-variable Process training-algorithm Heuristic algorithms Adaptation model Process control Artificial neural networks DVQBP Medical diagnostic imaging Monitoring
Content Type	Text
Resource Type	Article

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