Erratum

Abstract

AIChE JournalVolume 59, Issue 12 p. 4888-4888 ErratumFree Access Erratum This article corrects the following: A new process variable and dynamics selection method based on a genetic algorithm-based wavelength selection method Hiromasa Kaneko, Kimito Funatsu, Volume 58Issue 6AIChE Journal pages: 1829-1840 First Published online: April 23, 2012 First published: 16 October 2013 https://doi.org/10.1002/aic.14266AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat For “A New Process Variable and Dynamics Selection Method Based on a Genetic Algorithm-based Wavelength Selection Method” by H. Kaneko and K. Funatsu (DOI: 10.1002/aic.13814, June 2012, 58(6), pp. 1829–1840), the authors request the following errata: We found the wrong captions of Figures 1, 2, 3, 7, 8, 13, 14 and 15 and Table 3 without the citation in this article. We summarize the correct captions as follows: Figure 1. A data representation, considering process variables and dynamics.1 Figure 2. Coding rule for GAWLS.1 Figure 3. The basic concept of GAVDS and aGAVDS.1 Figure 7. A schematic representation of the distillation column.1 Figure 8. The standard regression coefficients of each variable about the PLS models before variable selection. (a) 1159 variables.1 (b) 133 variables. Figure 13. The selected frequency of each variable about 50 GAPLS models.1 Figure 14. The standard regression coefficients of each variable about a GAVDS model and an aGAVDS model. The number of regions is 5. (a) GAVDS.1 (b) aGAVDS. Figure 15. The selected frequency of each variable about the 50 GAVDS models.1 Table 3. Process Variables.1 We sincerely apologize for the inconvenience as authors. Literature Cited 1Kaneko H, Funatsu K. Development of soft sensor methods based on wavelength region selection methods. J Comput Chem Jpan. 2012; 11: 31– 42. (in Japanese). CrossrefCASGoogle Scholar Volume59, Issue12December 2013Pages 4888-4888 ReferencesRelatedInformation