Computing Machines and Devices Based on Probabilistic Principle

Boris Kiryanov, Valeriy A Kuznetsov, V. Pesoshin
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Abstract

Works of Gaines B. R., Poppelbaum W. J., Ribeiro S. T. laid the foundation for the development of the class of stochastic computing machines (SCM), the main arithmetic units of which are implemented on a digital element base. In this case, an algorithm for solving problems in analog computing machines (ACM) as well as in digital integrating machines (DIM), is determined through the method of combining elements that perform mathematical operations and real variables in general are linearly related to machine variables in the form of probabilities of random symbols 1 or 0 occurrence at discrete points in time t. Such choice of machine variables and, as a consequence, the stochastic (probabilistic) principle of operations implementation is associated with specific sequences of characters abstraction that introduces specifics not only into methods of constructing SCM devices but also into methods of their research.
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基于概率原理的计算机器和设备
Gaines B. R., Poppelbaum W. J., Ribeiro S. T.的作品为随机计算机(SCM)的发展奠定了基础,其中主要的算术单元是在数字元素基础上实现的。在这种情况下,解决模拟计算机(ACM)和数字积分机(DIM)问题的算法是通过将执行数学运算的元素和实际变量组合在一起的方法确定的,这些变量通常以随机符号1或0在时间t离散点出现的概率的形式与机器变量线性相关。操作实现的随机(概率)原理与特定的字符序列有关,抽象不仅在构造SCM设备的方法中引入了细节,而且还引入了研究它们的方法。
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