An Investigation on Multiple Faults Testing in Combinational Circuits by Boolean Differential Algorithm 应用布尔差分方法对组合线路中多重故障测试的探讨
Mathematical and computational methods are being developed in order to construct formal models of genetic interactions. There have been a number of attempts to model gene regulatory networks, including clustering, Boolean networks, Bayesian networks and differential equations. 研究人员试图通过数学和计算方法来构建遗传互作的模型,这些基因调控网络模型有聚类法、布尔网络、贝叶斯网络、微分方程等。
In addition, this dissertation 'discusses Boolean differential, integral calculus and their application to detection of digital circuit faults. 此外,还讨论了特殊运算&布尔差分、布尔微分及布尔积分等的理论计算以及在故障检测中的应用。
The Boolean differential algorithm is used in this paper to study the testing of multiple faults of the "s-a-0" or "s-a-1" stuck type in combinational circuits and the test conditions for multiple faults on single and multiple paths are given. 本文应用布尔差分方法,探讨了组合线路中固定型总是0或总是1的多重故障测试问题,并导出了单通路和多通路上的多重故障测试的判别条件。
Based on Boolean network ( BN), stochastic differential equations ( SDEs) and developmental landscape, these three layers of modeling systematically explain the development of central nervous system development and provide insights about the optimal reprogramming strategies. 从布尔网络,随机微分方程,和景观模型三个层次出发,系统理论性地解释了中枢神经发育的过程,并提供了一些关于最优重编程策略的建议。