Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks
The paper deals with the problem of determination of the model uncertainty during the system identification with the application of the Group Method of Data Handling (GMDH) neural network. The main objective is to show how to employ the Least Mean Square (LMS) and the Outer Bounding Ellipsoid (OBE) algorithm to obtain the corresponding model uncertainty.
KeywordsInduction Motor Neuron Output Little Mean Square Little Mean Square Robust Fault Detection
Unable to display preview. Download preview PDF.
- 3.Gupta, M.M., Liang, J., Homma, N.: Static and Dynamic Neural Networks. John Wiley & Sons, Hoboken (2003)Google Scholar
- 4.Ivakhnenko, A.G., Mueller, J.A.: Self-organizing of Nets of Active Neurons. System Analysis Modelling Simulation 20, 93–106 (1996)Google Scholar
- 7.Mrugalski, M.: Neural Network Based Modelling of Non-linear Systems in Fault Detection Schemes. Ph.D. Thesis (In Polish), University of Zielona Góra, Zielona Góra (2004)Google Scholar