Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria

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Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria

The study presents a preliminary design of a classification system to detect the presence of sulfate-reducing bacteria (SRB). The thesis focuses on the development of artificial neural network (ANN) model 10 recognize the presence of SRB in a sample based on the sensors responses. Two sensors are...

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Bibliographic Details
Main Author:	Tan, Earn Tzeh
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:	http://eprints.usm.my/61074/ http://eprints.usm.my/61074/1/24%20Pages%20from%2000001779827.pdf

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