1 |
Adaptive Soft Sensor Modeling Method for Time-varying and Multi-Dimensional Chemical Processes Li LH, Dai YS Journal of Chemical Engineering of Japan, 54(2), 63, 2021 |
2 |
Parallel neural networks for improved nonlinear principal component analysis Heo S, Lee JH Computers & Chemical Engineering, 127, 1, 2019 |
3 |
Autoassociative neural networks for robust dynamic data reconciliation Bai SH, McLean DD, Thibault J AIChE Journal, 53(2), 438, 2007 |
4 |
New associative systems based on alkylated hyaluronic acid. Synthesis and aqueous solution properties Creuzet C, Kadi S, Rinaudo M, Auzley-Velty R Polymer, 47(8), 2706, 2006 |
5 |
Autoassociative natural polymer derivatives: the alkylchitosans. Rheological behaviour and temperature stability Desbrieres J Polymer, 45(10), 3285, 2004 |
6 |
Pattern identification and classification in gene expression data using an autoassociative neural network model Bicciato S, Pandin M, Didone G, Di Bello C Biotechnology and Bioengineering, 81(5), 594, 2003 |
7 |
Classification of fermentation performance by multivariate analysis based on mean hypothesis testing Huang JH, Nanami H, Kanda A, Shimizu H, Shioya S Journal of Bioscience and Bioengineering, 94(3), 251, 2002 |
8 |
Identification of Faulty Sensors Using Principal Component Analysis Dunia R, Qin SJ, Edgar TF, Mcavoy TJ AIChE Journal, 42(10), 2797, 1996 |