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

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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书目详细资料
主要作者:	Tan, Earn Tzeh
格式:	Thesis
语言:	English
出版:	2014
主题:	TK1-9971 Electrical engineering Electronics Nuclear engineering
在线阅读:	http://eprints.usm.my/61074/1/24%20Pages%20from%2000001779827.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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