Single Gaussian Chaotic Neuron: Numerical Study and Implementation in an Embedded System
Artificial Gaussian neurons are very common structures of artificial neural networks like radial basis function. These artificial neurons use a Gaussian activation function that includes two parameters called the center of mass (cm) and sensibility factor (
| Autores principales: | , , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | http://eprints.uanl.mx/14807/1/521.pdf |
| Sumario: | Artificial Gaussian neurons are very common structures of artificial neural networks like radial basis function. These artificial neurons use a Gaussian activation function that includes two parameters called the center of mass (cm) and sensibility factor ( |
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