Modelo comportamental do capacitor ferroelétrico como unidade básica de neurônios artificiais e sua implementação em FPGA
This work proposes the use of the behavioral model of the hysteresis loop of the ferroelectrics capacitor as a new alternative to the usually costly techniques in the computation of nonlinear functions in artificial neurons implemented on reconfigurable hardware platform, in this case, a FPGA dev...
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| Formato: | doctoralThesis |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/19756 |
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| Resumo: | This work proposes the use of the behavioral model of the hysteresis loop of the ferroelectrics
capacitor as a new alternative to the usually costly techniques in the computation
of nonlinear functions in artificial neurons implemented on reconfigurable hardware
platform, in this case, a FPGA device. Initially the proposal has been validated by the
implementation of the boolean logic through the digital models of two artificial neurons:
the Perceptron and a variation of the model Integrate and Fire Spiking Neuron, both using
the model also digital of the hysteresis loop of the ferroelectric capacitor as it’s basic nonlinear
unit for the calculations of the neurons outputs. Finally, it has been used the analog
model of the ferroelectric capacitor with the goal of verifying it’s effectiveness and possibly
the reduction of the number of necessary logic elements in the case of implementing
the artificial neurons on integrated circuit. The implementations has been carried out by
Simulink models and the synthesizing has been done through the DSP Builder software
from Altera Corporation. |
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