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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150570
Doc. No : ET22362
Main Entry : Reza Derakhshani
Title Proper : Biologically Inspired Evolutionary Temporal Neural Circuits
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Biological neural networks have always motivated creation of new artificialneural networks, and in this case a new autonomous temporal neural network system.Among the more challenging problems of temporal neural networks are the design andincorporation of short and long-term memories as well as the choice of network topologyand training mechanism. In general, delayed copies of network signals can form shorttermmemory (STM), providing a limited temporal history of events similar to FIR filters,whereas the synaptic connection strengths as well as delayed feedback loops (IIRcircuits) can constitute longer-term memories (LTM). This dissertation introduces a newgeneral evolutionary temporal neural.-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45568.pdf
Title and statement of responsibility and : Biologically Inspired Evolutionary Temporal Neural Circuits [Thesis]
 
 
 
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