Nonlinear FIR modeling via a neural net PLS approach

Computers and Chemical Engineering

Volumn 20, Issue 2, 1996, Pages 147-159

  Qin, S J ^a   Mcavoy, T J ^b  

^a Rosemount Inc   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DIGITAL FILTERS; INPUT OUTPUT PROGRAMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MULTIPROCESSING SYSTEMS; NEURAL NETWORKS; NONLINEAR PROGRAMMING; REGRESSION ANALYSIS; STATISTICAL METHODS;

EXOGENOUS INPUTS; INDUSTRIAL MIMO PROCESSES; NONLINEAR AUTOREGRESSIVE MODELS; NONLINEAR DYNAMIC MODELLING; NONLINEAR FINITE IMPULSE RESPONSE; PARAMETRIZATION; PARTIAL LEAST SQUARES; SINGLE-INPUT-SINGLE OUTPUT NEURAL NETWORKS; STATIC DATA ANALYSIS;

COMPUTER SIMULATION;

EID: 0030083996     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(95)00011-P     Document Type: Article

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