PLS/neural networks
- 1 April 1992
- journal article
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 16 (4) , 393-411
- https://doi.org/10.1016/0098-1354(92)80056-f
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Modeling chemical process systems via neural computationIEEE Control Systems Magazine, 1990
- Improvement of the backpropagation algorithm for training neural networksComputers & Chemical Engineering, 1990
- Identification and control of dynamical systems using neural networksIEEE Transactions on Neural Networks, 1990
- Multilayer feedforward networks are universal approximatorsNeural Networks, 1989
- Artificial neural network models of knowledge representation in chemical engineeringComputers & Chemical Engineering, 1988
- PLS regression methodsJournal of Chemometrics, 1988
- A theoretical foundation for the PLS algorithmJournal of Chemometrics, 1987
- Partial least-squares regression: a tutorialAnalytica Chimica Acta, 1986
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- A Misuse of Ridge Regression in the Calibration of a Near Infrared Reflectance InstrumentJournal of the Royal Statistical Society Series C: Applied Statistics, 1983