Development of a new method of crack modeling and prediction algorithm

dc.contributor.authorAibinu, M.
dc.contributor.authorShafie, A. A.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorLawal, W. A.
dc.date.accessioned2019-08-16T10:56:07Z
dc.date.available2019-08-16T10:56:07Z
dc.date.issued2008
dc.description.abstractIn this report, the well known parametric method of signals and systems representation is extended to modeling and prediction of cracks on building and road surfaces. Also, a new algorithm based on complex value autoregressive neural network with split linear activation function for the determination of Complex-Value Autoregressive Moving average (CARMA) coefficients is also proposed in this report. Furthermore, mathematical derivation and detail analysis of the proposed CARMA based Complex-Value Neural Network (CVNN) algorithm is also discussed in this work.en_US
dc.identifier.citationAibinu, M., Shafie, A. A., Salami, M. J. E., Salami, A. F., & Lawal, W. A. (2008). Development of a new method of crack modeling and prediction algorithm. In Proceedings of the 3rd International Conference on Mechatronics (ICOM’08) (pp. 434-438).en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/518
dc.language.isoenen_US
dc.publisherProceedings of the 3rd International Conference on Mechatronics (ICOM’08)en_US
dc.subjectNew Method of Crack Modelingen_US
dc.subjectPrediction Algorithmen_US
dc.titleDevelopment of a new method of crack modeling and prediction algorithmen_US
dc.typeArticleen_US
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