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System method of evaluating core competence of Enterprise based on artificial neural network

机译:基于人工神经网络的企业核心竞争力评价系统方法

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Core competence of the enterprise is a complete system, which is composited by all sorts of related resources or ability correlated with each other. According to the Resource-Theory and Capability-Theory, the source of core competence can be concluded to seven aspects, which are Plan Ability, Organization Ability, Human Resources, Intellectual Property, Enterprise Culture, Market Capacity and Production Capacity. It's necessary to look at each component of core competence from different perspectives for a comprehensive understanding. So the evaluation index system is designed in multidimension such as Value, Sustainability, Inimitability. This article evaluates the core competence of the enterprise by using artificial neural network, and uses the idea of AHP to solve the problem of determining the output of training sample in the neural network. Lastly, there is an empirical research by the BP neural network method, which evaluates the core competence of motor listed companies.
机译:企业的核心能力是一个完整的系统,由各种相关资源或能力相互关联的能力。 根据资源理论和能力 - 理论,核心竞争力的来源可以达到七个方面,这些方面是规划能力,组织能力,人力资源,知识产权,企业文化,市场能力和生产能力。 有必要从不同的角度看看核心竞争力的每个组成部分,以实现全面的理解。 因此,评估指标系统的设计是在多电视之类的视频中设计,例如价值,可持续性,不可定位性。 本文通过使用人工神经网络来评估企业的核心竞争力,并利用AHP的思想来解决确定神经网络中训练样本输出的问题。 最后,BP神经网络方法存在实证研究,评估电机上市公司的核心竞争力。

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