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Simulation of ATPG Neural Network and Its Experimental Results

Simulation of ATPG Neural Network and Its Experimental Results
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摘要 This paper first establishes a neural network model for logic circuits fromthe truth table by using linear equations theory, presents a kind of ATPG neuralnetwork model, and investigates energy local minima for the network- And then,it proposes the corresponding techniques to reduce the number of energy localminima as well as some approaches to escaping from local minimum of eliergyFinally, two simulation systems, the binary ATPG neural network and thecontinuous ATPG neural network, are implemented oli SUN 3/260 workstationin C language. The experimental results and their analysis and discussion aregiven. The preliminary experimental results show that this method is feasibleand promising. This paper first establishes a neural network model for logic circuits fromthe truth table by using linear equations theory, presents a kind of ATPG neuralnetwork model, and investigates energy local minima for the network- And then,it proposes the corresponding techniques to reduce the number of energy localminima as well as some approaches to escaping from local minimum of eliergyFinally, two simulation systems, the binary ATPG neural network and thecontinuous ATPG neural network, are implemented oli SUN 3/260 workstationin C language. The experimental results and their analysis and discussion aregiven. The preliminary experimental results show that this method is feasibleand promising.
作者 张中
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 1995年第4期310-324,共15页 计算机科学技术学报(英文版)
关键词 Neural networks logic circuits automatic test pattern generation (ATPG) local minimum linear equations theory Neural networks, logic circuits, automatic test pattern generation (ATPG), local minimum, linear equations theory
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参考文献5

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二级参考文献1

  • 1张中,1991年

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