Logic vector analysis of associative tables

机译：关联表的逻辑向量分析

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This article describes logical analysis infrastructure of associative tables (matrices), which enables to perform processing the interaction of the input vector with n-dimensional algebra-logical space, specified by using the ordered and structured tables of problem-oriented data, which represent the associative behavioral models of logical objects. To estimate the interaction of vectors in algebra-logical space the universal quality criterion is developed. It makes possible to find and evaluate the quasioptimal solution to the problems of associative logical information retrieval. Examples of the infrastructure and algebra-logical procedures, designed to solve the traditional logical analysis problems, which confirm the efficiency and practical orientation of algebraic models, are given.

机译：本文介绍了关联表（矩阵）的逻辑分析基础结构，该基础结构使执行输入向量与n维代数逻辑空间的交互处理成为可能，该交互是通过使用面向问题的数据的有序和结构化表指定的，这些表代表了问题的数据。逻辑对象的关联行为模型。为了估计向量在代数逻辑空间中的相互作用，开发了通用质量准则。这样就可以找到和评估针对联想逻辑信息检索问题的准最优解。给出了旨在解决传统逻辑分析问题的基础结构和代数逻辑程序的示例，这些程序确定了代数模型的效率和实际方向。

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《2010 11th International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design》|2010年|p.1-6|共6页
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中图分类基本电子电路;
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associative table; infrastructure; logic vector analysis;

机译：关联表;基础设施;逻辑矢量分析;

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Logic vector analysis of associative tables

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