Partial least square regression techniques in obtaining measurem

Details Partial least square regression techniques in obtaining measurem Partial least square regression techniques in obtaining measurem

1996-01-16

1997-10-07

Arana, Louis M.

Electricity: measuring and testing

Particle precession resonance

Determine fluid flow rate

324307, 324309, G01V 300

Patent

active

056752539

ABSTRACT:
An on-line nuclear magnetic resonance (NMR) system, and related methods, are useful for predicting one or more properties of interest of a polymer. In one embodiment, a neural network is used to develop a model which correlates process variables in addition to manipulated NMR output to predict a polymer property of interest. In another embodiment, a partial least square regression technique is used to develop a model of enhanced accuracy. Either the neural network technique or the partial least square regression technique may be used in conjunction with a described multi-model or best-model-selection scheme according to the invention. The polymer can be a plastic such as polyethylene, polypropylene, or polystyrene, or a rubber such as ethylene propylene rubber.

REFERENCES:
patent: 4857844 (1989-08-01), Van Vaals
patent: 4973111 (1990-11-01), Haacke et al.
patent: 4980640 (1990-12-01), Van Ormondt et al.
patent: 5519319 (1996-05-01), Smith et al.
patent: 5530350 (1996-06-01), Dechene et al.

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