Construction of a Framework for the Realization of Neuro-Fuzzy Computing Structures Based on the Physical Behavior of Processing Elements, Ph.D. Dissertation Sharif University of Technology ; Bagheri Shouraki, Saeed (Supervisor)
Abstract
In this thesis we concentrated on the application of memristor-rossbars for the hardware implementation of neuro-fuzzy systems. At first we showed that using memristive devices for this purpose has several problems and demonstrated the availability of the positive feedback in the behavior of this passive element. Then, by proposing new learning structure we tried to overcome some of these drawbacks. In the rest of this thesis we focused on the hardware implementation of neuro-fuzzy systems based on memristor crossbar structures. At first, hardware implementation of the Active Learning Method (ALM) is presented.
Next, new learning and computing method is proposed by creating and using... Cataloging briefConstruction of a Framework for the Realization of Neuro-Fuzzy Computing Structures Based on the Physical Behavior of Processing Elements, Ph.D. Dissertation Sharif University of Technology ; Bagheri Shouraki, Saeed (Supervisor)
Abstract
In this thesis we concentrated on the application of memristor-rossbars for the hardware implementation of neuro-fuzzy systems. At first we showed that using memristive devices for this purpose has several problems and demonstrated the availability of the positive feedback in the behavior of this passive element. Then, by proposing new learning structure we tried to overcome some of these drawbacks. In the rest of this thesis we focused on the hardware implementation of neuro-fuzzy systems based on memristor crossbar structures. At first, hardware implementation of the Active Learning Method (ALM) is presented.
Next, new learning and computing method is proposed by creating and using... Find in contentBookmark |
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