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文章首先对团队成员绩效评价和人工神经网络进行了概述,综述了绩效评价的一些传
统方法,整理和分析了神经网络的有关理论,其次针对评价模型,建立相应绩效评价的指
标体系,然后在论证了 BP 神经网络用于绩效评价的可行性的基础上构建了基于 BP 神经网
络的企业营销团队成员绩效评价模型, 最后结合案例对企业营销团队成员绩效评价模型
进行了实证分析,运用 MATLAB 软件完成了模型的程序实现,并结合案例对模型的准确
性和可行性进行验证,实证结果表明运用 BP 神经网络对企业营销团队成员绩效进行评价
具有可行性和较高的准确度。
关键词:营销团队 绩效评价 神经网络
Abstract
Enterprise’s marketing is becoming important increasingly in the business With increasing
competition, and it has taken serious attention from more and more management layer, so
successful marketing team plays a vital role in enterprise’s marketing. However, corporate
marketing relies on excellent marketing team, so companies have to set up an excellent
marketing team and gain a foothold in the fierce market competition in order to adapt to global
economic integration and network environment. How to make marketing team members create
the greatest benefits in a fair and harmonious environment, the most important for the member of
the marketing team is to conduct a comprehensive, fair and scientific performance evaluation.
The main purpose of performance evaluation is to acquire personal development and achieve
standardized management team through the establishment of an objective and fair performance
evaluation system, which ultimately enable enterprises to obtain greater profits.
This paper firstly summarizes some of the traditional methods of performance evaluation,
and analyses some theories of neural network algorithm and the corresponding mathematical,
and then establishes the index system for performance evaluation of enterprise’s marketing team,
then it proposes a performance evaluation model of enterprise’s marketing team members based
on BP neural network, finally it operates the empirical analysis using MATLAB software to
complete the implementation of the program model to verify the accuracy and feasibility of the
model, it proves to have feasibility and high accuracy using neural network for personnel
evaluation.
Keywords: marketing team/performance evaluation/neural network
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