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題 名 | Logic Gate Analysis with Feed Forward Neural Network=類神經網路應用於數位邏輯閘分析 |
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作 者 | 戴鑑廷; 吳淑惠; | 書刊名 | 黃埔學報 |
卷 期 | 51 民95.10 |
頁 次 | 頁235-251 |
分類號 | 448.57 |
關鍵詞 | 前授型類神經網路; 邏輯閘MatLAB®; Feed forward neural network; Logic gate; MatLAB®; LabVIEW[fef0]; |
語 文 | 英文(English) |
中文摘要 | 邏輯閘為設計及製造積體電路重要元件。多功能的數位電子零件,是由許多的基本的邏輯閘所組成。分析這種數位零件,既耗時又繁雜的工作。由於類神經網路相關科技及知識的成熟,其被使用於邏輯閘的分析,使工作能夠有相當程度的簡化。本研究主要目的,在於如何建構一個類神經網路應用於複雜邏輯閘的分析。文中,首先探討類神經網路的數學理論相關背景;然後使用MatLAB 所提共的類神經網路工具函數,建構一個類神經網路物件;為了訓練此網路,使用美國儀器公司的LabVIEW,設計一組合邏輯閘並產生一組訓練資料。 |
英文摘要 | Logic gates are main components to design and assemble an integrated circuit part. A multifunction electronic part is often composed by a great many of basic gates and derived gates. To analyze such a part is very tedious job. With advent of knowledge and technique in neural network, the complexity can be simplified with this technology to remarkably extent. The purpose of the study is to focus on how to establish a feed forward neural network to analyze a complex logic gates. Firstly, the mathematical background of a neural network model is reviewed. Then, the neural network toolbox in MatLAB® is described. Finally, a simple hybrid logic gate is used as an illustrated example. To generate the truth-value for the gate, LabVIEW™ is employed to produce the dataset for training, validating and testing the neural network. |
本系統中英文摘要資訊取自各篇刊載內容。