WIT Press

Implementation Of SEEK-FIND Algorithm For Diagnosis And Prediction Of Pollution States

Price

Free (open access)

Paper DOI

10.2495/AIR950082

Volume

10

Pages

8

Published

1995

Size

736 kb

Author(s)

M. Nonaka & N.H. Thomas

Abstract

In order to enhance the estimation rate of the SEEK( Switching mode Enhanced Extended Kalman) algorithm an artificial neural network is embedded within the SEEK algorithm. The SEEK-FIND(SEEK For Initialisation of Neural Descriptor) algorithm is efficient to estimate state variables in multi-modal nonlinear systems such as contaminant dispersion processes. When a nonlinear system has regularities and irregularities such as bifurcation the neural network is applied to estimate the regular states after leaning by using the state variable estimated from the SEEK filter as teacher signals. The SEEK filter takes over again when the system shows irregularities. The SEEK filter and the neural netw

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