Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.
基于系统辨识的神经网络灵敏度，提出了降低用于控制系统中神经网络灵敏度的一种方法。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network.
同时，粗糙集对于决策表噪声比较敏感，BP神经网络可以克服这个缺点。
The hierarchical analysis theory is used to analyze the sensitivity of the input parameters of the neural network model of ground deformation of shield tunnel and excavation.
运用递阶分析方法，对本文所建立的盾构隧道和基坑工程地面变形神经网络模型中所选用的输入参数进行了敏感性分析，得出预测模型输入参数的敏感性排序。
The system would reduce the malfunction rate with high sensitivity. Also the neural network has function of self-learning, which would raise the degree of intelligence of the system.
该系统依靠模糊控制理论提高了灵敏度，减少了误报率，并结合神经网络具有自学习功能的特点，提高了整个系统的智能化程度。
The system would reduce the malfunction rate with high sensitivity. Also the neural network has function of self-learning, which would raise the degree of intelligence of the system.
该系统依靠模糊控制理论提高了灵敏度，减少了误报率，并结合神经网络具有自学习功能的特点，提高了整个系统的智能化程度。
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