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Previous issue date: 2015-01-30 / Este trabalho prop?e a utiliza??o do modelo comportamental do ciclo de histerese do
capacitor ferroel?trico como uma nova alternativa ?s t?cnicas normalmente custosas no
c?lculo de fun??es n?o-lineares em neur?nios artificiais implementados em plataforma de
hardware reconfigur?vel, no caso, um dispositivo FPGA. Inicialmente a proposta foi validada
por meio da implementa??o da l?gica booleana atrav?s dos modelos digitais de dois
neur?nios artificiais: o Perceptron e uma varia??o do modelo Spiking Neuron Integrate
and Fire, ambos utilizando o modelo tamb?m digital do ciclo de histerese do capacitor
ferroel?trico como unidade b?sica n?o-linear no c?lculo das sa?das dos neur?nios. Finalmente,
foi utilizado um modelo anal?gico do capacitor ferroel?trico com o objetivo de
verificar a sua efic?cia e uma poss?vel redu??o no n?mero de elementos l?gicos necess?-
rios no caso da implementa??o dos neur?nios em circuito integrado. As implementa??es
foram realizadas por meio de modelos em Simulink e a sintetiza??o dos mesmos foi feita
com o aux?lio do software DSP Builder, da Altera Corporation. / 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.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/19756 |
| Date | 30 January 2015 |
| Creators | Silva, Alan Paulo Oliveira da |
| Contributors | 01207607703, http://lattes.cnpq.br/8556144121380013, Lopes, Danniel Cavalcante, 02878120493, http://lattes.cnpq.br/5342832426660173, Soares, Heliana Bezerra, 80674585453, http://lattes.cnpq.br/5057165446370629, Fernandes, Marcelo Augusto Costa, 02099790469, http://lattes.cnpq.br/3475337353676349, Sablon, Vicente Idalberto Becerra, 21367666864, http://lattes.cnpq.br/6350047853320576, Guerreiro, Ana Maria Guimar?es |
| Publisher | Universidade Federal do Rio Grande do Norte, PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA EL?TRICA E DE COMPUTA??O, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/doctoralThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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