提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
在模型构造中，采用小波概率神经网络进行控制图的模式识别和控制图异常模式的参数估计。
In the modeling of the structure, the wavelet probabilistic neural network was used to recognize the control chart patterns and estimate the abnormal patterns parameters.
比如项目管理中的网络图、电网中的控制图和交通运输中的控制图等都是常见的网络图。
For example, the network chart of project management, the control chart of power grid and communication and transportation are all common network chart.
其次，基于BP神经网络，对控制图的模式识别问题进行了研究。
Secondly, pattern recognition for control chart is researched based on the BP neural network.
其次，基于BP神经网络，对控制图的模式识别问题进行了研究。
Secondly, pattern recognition for control chart is researched based on the BP neural network.
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