Group Method of Data Handling model using modified Levenberg-Marquardt technique
System identification techniques are used in order to model and predict the behaviors of unknown and very complex systems based on known input-output data. A major difficulty in modeling complex systems is the researcher introducing their own presumptions into the model. Group Method of Data Handlin...
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my-mmu-ep.62692016-01-12T11:09:57Z Group Method of Data Handling model using modified Levenberg-Marquardt technique 2013-04 Roudbaneh, Maryam Pournasir QA299.6-433 Analysis System identification techniques are used in order to model and predict the behaviors of unknown and very complex systems based on known input-output data. A major difficulty in modeling complex systems is the researcher introducing their own presumptions into the model. Group Method of Data Handling (GMDH) algorithm is a self organizing approach and introduced by A. G. Ivakhnenko that allows the researcher to build models of complex systems without making assumptions about the internal workings. In recent years, Application of GMDH algorithm has led to a great success in a broad range of areas such as engineering, science and management. Choosing an appropriate topology has a great impact on the model performance. In addition, it is crucial to calculate the coefficients correctly, which can be rather difficult and time-consuming. Conventional GMDH uses a statistical method called the “linear least squares regression” to calculate the values of the coefficients. 2013-04 Thesis http://shdl.mmu.edu.my/6269/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics |
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QA299.6-433 Analysis |
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QA299.6-433 Analysis Roudbaneh, Maryam Pournasir Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| description |
System identification techniques are used in order to model and predict the behaviors of unknown and very complex systems based on known input-output data. A major difficulty in modeling complex systems is the researcher introducing their own presumptions into the model. Group Method of Data Handling (GMDH) algorithm is a self organizing approach and introduced by A. G. Ivakhnenko that allows the researcher to build models of complex systems without making assumptions about the internal workings. In recent years, Application of GMDH algorithm has led to a great success in a broad range of areas such as engineering, science and management. Choosing an appropriate topology has a great impact on the model performance. In addition, it is crucial to calculate the coefficients correctly, which can be rather difficult and time-consuming. Conventional GMDH uses a statistical method called the “linear least squares regression” to calculate the values of the coefficients. |
| format |
Thesis |
| qualification_name |
Doctor of Philosophy (PhD.) |
| qualification_level |
Doctorate |
| author |
Roudbaneh, Maryam Pournasir |
| author_facet |
Roudbaneh, Maryam Pournasir |
| author_sort |
Roudbaneh, Maryam Pournasir |
| title |
Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| title_short |
Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| title_full |
Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| title_fullStr |
Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| title_full_unstemmed |
Group Method of Data Handling model using modified Levenberg-Marquardt technique |
| title_sort |
group method of data handling model using modified levenberg-marquardt technique |
| granting_institution |
Multimedia University |
| granting_department |
Faculty of Computing and Informatics |
| publishDate |
2013 |
| _version_ |
1747829617511628800 |