A Mixed-Signal Feed-Forward Neural Network Architecture with On-Chip Learning in CMOS 0.1 8pPOMPES PAR TRANSITIONS MULTIPLES

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" A Mixed-Signal Feed-Forward Neural Network Architecture with On-Chip Learning in CMOS 0.1 8pPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153258
Doc. No	:	ET25050
Main Entry	:	Mitra Mirhassani
Title Proper	:	A Mixed-Signal Feed-Forward Neural Network Architecture with On-Chip Learning in CMOS 0.1 8pPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	One of the main characteristics of the neural networks is their high number ofinterconnections between the neurons through synaptic multipliers. Interconnectionsoccupy large area and increase the circuit complexity which limits the size of thefully parallel network. To implement large size networks, time-multiplexing should.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49265.pdf
Title and statement of responsibility and	:	A Mixed-Signal Feed-Forward Neural Network Architecture with On-Chip Learning in CMOS 0.1 8pPOMPES PAR TRANSITIONS MULTIPLES [Thesis]