An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
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。
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.
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。
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。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
This model is nonlinear mixed integer programming and can be solved with neural network method and the chart of computer calculation process is also given.
该模型属非线性混合整数规划问题，采用神经网络方法求解，并给出了计算机软件算法框图。
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