Development of a new method of crack modeling and prediction algorithm
In 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 determinat...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/4044/ http://irep.iium.edu.my/4044/1/Development_of_a_New_Method_of_Crack_Modeling_and.pdf |
| Summary: | In 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. |
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