Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
Artificial neural networks (ANN) are known to be able to improve electrochemical sensor signal interpretation. The hardware realization of ANN requires investigation of many design issues relating to signal interfacing and design of a single neuron. This report focuses on the design of neuron archit...
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フォーマット: | 学位論文 |
言語: | English |
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2012
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オンライン・アクセス: | https://ir.uitm.edu.my/id/eprint/98642/1/98642.pdf https://ir.uitm.edu.my/id/eprint/98642/ |
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