概率神经网络下测试数据的分析处理

The Analysis and Treatment of Data Using Probabilistic Neural Network

随着管理技术的发展,测试数据作为管理中的重要组成部分正在得到越来越广泛的重视。为了使现有的监测水平得到进一步提高,就需要使用先进的数学工具和手段来识别测试数据的真假。通过这些手段的运用来实现数据的优化,并同时统计测试数据样本模型来预测可能出现的错误信息。因此对测试数据数理统计的研究具有一定的理论价值和实用价值。

With the development of management technology, motoring data of management, as an important part of being more widely appreciated. For the monitor level of the current can be further raised, which require the use of advanced mathematical tools and instruments to identify the monitoring data is true or not. Through these means used to achieve the optimization of the dated, while statistical monitoring data sample model to predict the possible error message. Therefore, it has a certain theoretical value and practical value to the mathematical statistics study of the monitoring data.