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Aprendizado de Dinâmica Caótica usando Redes Neurais de Wavelets
| Content Provider | Semantic Scholar |
|---|---|
| Author | Coelho, Leandro Dos Santos |
| Copyright Year | 2016 |
| Abstract | In this paper, a wavelet-based neural network is introduced for nonlinear identification of dynamic systems with chaotic behavior (chaotic time series). The structure of the wavelet-based neural network is similar to that of radial basis function neural network, except that there the activation function of the hidden nodes is replaced by wavelet functions. The proposed wavelet-based neural network is evaluated on two case studies: (i) Hénon map, and (ii) Rössler system. Simulation results demonstrate the effectiveness of the proposed identification methodology with wavelet-based |
| Starting Page | 421 |
| Ending Page | 426 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.21528/CBRN2003-090 |
| Alternate Webpage(s) | http://abricom.org.br/wp-content/uploads/2016/09/6CBRN_090.PDF |
| Alternate Webpage(s) | https://doi.org/10.21528/CBRN2003-090 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
