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首页> 外文会议>World Multi-Conference on Systemics, Cybernetics and Informatics >On Adaptive Computational Modeling for solving e-business and Knowledge Management problems: The case of Knowledge Management and e-Learning
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On Adaptive Computational Modeling for solving e-business and Knowledge Management problems: The case of Knowledge Management and e-Learning

机译：关于解决电子商务和知识管理问题的自适应计算建模：知识管理与电子学习的情况

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摘要

An adaptive computational modeling for optimized solutions of e-business and knowledge management problems is presented. Two new concepts in a certain class of Knowledge Management (KM) methodologies are introduced, namely the adaptive algorithmic concept and the singular perturbation (sp) principle. A synoptic description of these principles and their usage in certain KM application problems and selected cases are given. It is shown that the proposed algorithmic approach greatly facilitates the efficient application of KM methods and techniques for the solution of several e-business problems. The adaptability of the proposed algorithms through the choice of the sp parameter values and. their inherited compactness allow the efficient (near) optimum solution of a wide class of e-business and KM problems. These adaptive algorithmic techniques can be also particularly useful in the case of solving meta-computing problems.
机译：介绍了对电子商务和知识管理问题的优化解决方案的自适应计算建模。引入了一类知识管理（KM）方法中的两个新概念，即自适应算法概念和奇异扰动（SP）原理。给出了这些原则的概要描述及其在某些KM应用程序问题和所选案例中的使用情况。结果表明，所提出的算法方法极大地促进了KM方法和技术的有效应用，以解决若干电子商务问题。所提出的算法通过选择SP参数值的适应性和。它们的继承紧凑型允许高效（接近）广泛的电子商务和km问题的最佳解决方案。这些自适应算法技术在求解元计算问题的情况下也可以特别有用。

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