该算法利用改进FAN算法的反向蕴涵部分激活故障并将测试向量空间映射到混沌空间，采用混沌搜索来确定未确定的测试向量位。
The algorithm used backward implication in improved FAN algorithm to activate fault and mapped test vector space to the chaotic space, adopted chaotic search to find out the suitable testing pairs.
图像梯度修正是将图像梯度方向旋转到尽量与法向量在图像平面的投影反向一致的方向上。
The revision of the image gradient is to revolve it to the reverse direction of the normal vector's projection on the image plane.
在实际工业数据上进行的实验结果表明，支持向量机模型对丙酮纯度具有良好的预测效果，性能优于反向传播神经网络和径向基网络模型。
The experimental results on the real industrial data demonstrate that the model based on SVM achieves good performance and has less prediction errors than those of BPNN and RBFNN models.
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