该算法有较强的抵抗噪声与非线性形变的能力。
This algorithm can be capable of noise resistance and nonlinear deformation.
在匹配阶段，多参考中心的使用和相似元分析的结合能在一定程度上克服指纹非线性形变的影响，降低了匹配算法的拒识率。
At the matching stage, using several reference points and in combination with similar element analysis alleviate the effect of nonlinearly deformation and decrease the false reject rate.
基于神经网络建立热膨胀螺栓形变的非线性数学模型。
Based upon neural networks, a nonlinear mathematical model of the protraction for the thermal expansion die bolt is developed.
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