Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/75204
Title: Nonlinear process modeling based on just-in-time learning and angle measure
Authors: Cheng, C.
Chiu, M.-S. 
Issue Date: 2003
Source: Cheng, C.,Chiu, M.-S. (2003). Nonlinear process modeling based on just-in-time learning and angle measure. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2773 PART 1 : 1311-1318. ScholarBank@NUS Repository.
Abstract: A new just-in-time learning methodology by incorporating both distance measure and angle measure is developed. This result enhances the existing methods, where the available information of angular relationships between two data samples is not exploited. In addition, a new procedure of selecting the relevant data set is proposed. The proposed methodology is illustrated by a case study of modeling a polymerization reactor. The adaptive ability of the just-in-time learning is also evaluated.
Source Title: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
URI: http://scholarbank.nus.edu.sg/handle/10635/75204
ISSN: 03029743
Appears in Collections:Staff Publications

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