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A Neural Network Approach to Evaluate Agility of Cloud-Based Virtual Enterprise

机译:一种评价基于云虚拟企业敏捷性的神经网络方法

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As a new mode of Internet applications, cloud computing will become the future access to the dominant way of services and information. In cloud computing environment is more suitable for virtual enterprise, it is more powerful. In order to study how to measure Agility of Cloud-based Virtual Enterprise (CVE), the relationship between CVE and its member is analyzed first. Base on it, a new method using Bayesian Regularized Neural Network (BRNN) for Agility Evaluation of Virtual Enterprise is developed. A simulative example illustrates the usefulness of the proposed method. In contrast to the standard BP neural network, the result shows that BRNN overcome the over-fitting problems, it can be used to measure any size of CVE.
机译:作为一种新的互联网应用模式,云计算将成为未来对主要服务方式和信息的访问。 在云计算环境中更适合虚拟企业,它更强大。 为了研究如何测量基于云的虚拟企业(CVE)的敏捷性,首先分析CVE与其成员之间的关系。 基于它,开发了一种使用贝叶斯正规化神经网络(BRNN)进行虚拟企业敏捷评估的新方法。 模拟示例说明了所提出的方法的有用性。 与标准BP神经网络相比,结果表明,Brnn克服了过度拟合的问题,它可用于测量任何大小的CVE。

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