PARAMETER ESTIMATION OF THE GMDH-TYPE NEURAL NETWORK USING UKF FILTER

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MASOUMNEZHAD MOJTABA; JAMALI ALI; NARIMANZADEH NADER

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Journal: Modares Mechanical Engineering Year:2015 | Volume:14 | Issue:15 Page(s): 59-66

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Title

PARAMETER ESTIMATION OF THE GMDH-TYPE NEURAL NETWORK USING UKF FILTER

Author(s)

MASOUMNEZHAD MOJTABA | JAMALI ALI | NARIMANZADEH NADER | Issue Writer Certificate

Keywords

GMDH-TYPE NEURAL NETWORKQ2

UNSCENTED KALMAN FILTERQ2

UNCERTAINTYQ2

PARAMETER ESTIMATIONQ2

MODEL IDENTIFICATIONQ2

Abstract

The UNSCENTED KALMAN FILTER (UKF) is the popular approach to estimate the recursive parameter of nonlinear dynamical system corrupted with Gaussian and white noises. Also, it has been applied to train the weights of the multi-layered neural network (MNN) models. The Group method of data handling (GMDH)-type neural network is one of the most widely used neural networks having high capacity in modeling of the complex data. In many researches, different approaches are used in training of neural networks in terms of associated weights or coefficients, such as singular value decomposition and genetic algorithms. In this paper, the UNSCENTED KALMAN FILTER is used to train the parameters of GMDH-TYPE NEURAL NETWORK when the experimental data are deterministic. The effectiveness of GMDH-TYPE NEURAL NETWORK with UKF algorithm is demonstrated by modeling using a table of the multi input-single output experimental data. The simulation result shows that the UKF-based GMDH algorithm performs well in modeling of nonlinear systems in comparison with the results of using traditional GMDH-TYPE NEURAL NETWORK and is more robust against the model and measurement UNCERTAINTY.

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APA: Copy

MASOUMNEZHAD, MOJTABA, JAMALI, ALI, & NARIMANZADEH, NADER. (2015). PARAMETER ESTIMATION OF THE GMDH-TYPE NEURAL NETWORK USING UKF FILTER. MODARES MECHANICAL ENGINEERING, 14(15), 59-66. SID. https://sid.ir/paper/177724/en

Vancouver: Copy

MASOUMNEZHAD MOJTABA, JAMALI ALI, NARIMANZADEH NADER. PARAMETER ESTIMATION OF THE GMDH-TYPE NEURAL NETWORK USING UKF FILTER. MODARES MECHANICAL ENGINEERING[Internet]. 2015;14(15):59-66. Available from: https://sid.ir/paper/177724/en

IEEE: Copy

MOJTABA MASOUMNEZHAD, ALI JAMALI, and NADER NARIMANZADEH, “PARAMETER ESTIMATION OF THE GMDH-TYPE NEURAL NETWORK USING UKF FILTER,” MODARES MECHANICAL ENGINEERING, vol. 14, no. 15, pp. 59–66, 2015, [Online]. Available: https://sid.ir/paper/177724/en

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