Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: dynamic GMDH neural network

Sortuj według:

Ogranicz wyniki do:

An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection

100%

Mrugalski M.

International Journal of Applied Mathematics and Computer Science

2013

tom 23

nr 1

157-169

This paper presents an identification method of dynamic systems based on a group method of data handling approach. In particular, a new structure of the dynamic multi-input multi-output neuron in a state-space representation is proposed. Moreover, a new training algorithm of the neural network based on the unscented Kalman filter is presented. The final part of the work contains an illustrative example regarding the application of the proposed approach to robust fault detection of a tunnel furnace.

Ograniczanie wyników

1 International Journal of Applied Mathematics and Computer Science

1 Mrugalski M.

1 2013

Wyniki wyszukiwania

An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection