1. A phenomenological model for sonic crystals based on artificial neural networks.
- Author
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Fuster-Garcia, E., Romero-García, V., Sánchez Pérez, Juan V., García-Raffi, L. M., and Sánchez Pérez, Enrique A.
- Subjects
- *
BIOLOGICAL neural networks , *NEURAL circuitry , *COGNITIVE neuroscience , *ARTIFICIAL intelligence , *SOUND - Abstract
A phenomenological model that simulates the acoustic attenuation behavior of sonic crystals is developed in this paper. The input of the model is a set of parameters that characterizes each experimental setup, and the output is a simulation of the associated attenuation spectrum. The model consists of a combination of a multiresolution analysis based on wavelet functions and a set of artificial neural networks. An optimized coupling of these tools allows us to drastically reduce the experimental data needed, and to obtain a fast computational model that can be used for technological purposes. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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