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A comparative analysis of permutation combination based and grammatical rule based knowledge provider system

机译:基于排列组合和基于语法规则的知识提供者系统的比较分析

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Permutation Combination (PC) based parsing algorithm of Knowledge Provider System (KPS) and Grammatical Rules (GR) based parsing algorithm of Automated Knowledge Provider System (AKPS) has been compared using the Time complexity and Space complexity. "Big-O" notation has been utilized by the Time function 'l'(n) and Space function DSAPACE ('/', X) to describe the time complexity and space complexity of both algorithms. Further it is clarified that PC based parsing system (KPS) is a subset of GR based parsing system (AKPS). The function 'l'(n) and 'l'(n, m) represents the equation of both algorithms of Knowledge Provider System and both the equations have been used in mathematical optimization to prove that one is subset of another. Hence, we can propose a Hybrid Knowledge Provider System (HKPS) that would combine the advantages of both PC based system and GR based system in terms of time complexity.
机译:使用时间复杂度和空间复杂度对知识提供者系统(KPS)的基于组合组合(PC)的解析算法和自动化知识提供者系统(AKPS)的基于语法规则(GR)的解析算法进行了比较。时间函数'l'(n)和空间函数DSAPACE('/',X)已使用“ Big-O”表示法来描述两种算法的时间复杂度和空间复杂度。进一步明确的是,基于PC的解析系统(KPS)是基于GR的解析系统(AKPS)的子集。函数“ l”(n)和“ l”(n,m)表示知识提供者系统的两种算法的方程式,并且两个方程式均已在数学优化中用于证明一个是另一个子集。因此,我们可以提出一种混合知识提供者系统(HKPS),它将结合基于PC的系统和基于GR的系统在时间复杂度方面的优势。

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