New approach to applying neural network in nonlinear dynamic model

Applied Mathematical Modelling

Volumn 32, Issue 12, 2008, Pages 2621-2633

  Härter, Fabrício P ^a   de Campos Velho, Haroldo Fraga ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

Artificial neural network; Data assimilation; Dynamo model; Extended Kalman filter; Radial base function

Indexed keywords

BACKPROPAGATION; CELLULAR RADIO SYSTEMS; CHLORINE COMPOUNDS; COMPUTATIONAL COMPLEXITY; CONSERVATION; CONTROL THEORY; DC GENERATORS; ELECTRIC GENERATORS; EQUATIONS OF MOTION; EXTENDED KALMAN FILTERS; FEEDFORWARD NEURAL NETWORKS; GRAVITATIONAL EFFECTS; IMAGE CLASSIFICATION; INTERACTIVE DEVICES; KALMAN FILTERS; OFFSHORE OIL WELL PRODUCTION; RADIAL BASIS FUNCTION NETWORKS; STATE SPACE METHODS; WAVE FILTERS; WEATHER FORECASTING; WEATHER INFORMATION SERVICES;

ANN TRAINING; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC MOTIONS; COMPUTATIONAL COSTS; DATA ASSIMILATION; DYNAMICAL MODELING; DYNAMO MODEL; EXTENDED KALMAN FILTER; EXTENDED KALMAN FILTER (EKF); HIGH-DIMENSIONAL; HIGH-DIMENSIONAL PROBLEMS; HIGH-ORDER; MODEL ERRORS; NEW APPROACHES; NON-LINEAR MODELING; NONLINEAR DYNAMIC MODELING; NUMERICAL WEATHER PREDICTION; ONE-DIMENSIONAL; OPERATIONAL MODELING; PRIMITIVE EQUATIONS; RADIAL BASE FUNCTION; RADIAL BASIS FUNCTION NEURAL NETWORK; SHALLOW WATER EQUATION; STATE SPACES;

NEURAL NETWORKS;

EID: 50149117517     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2007.09.006     Document Type: Article

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