提出一种基于对齐度和模糊梯度相似性的图像配准方法。
A new approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.
该模型采用五层前向模糊神经网络，学习算法为梯度下降法。
The model was a Feedforward Fuzzy neural network possessing five layers, and Gradient Descent was adopted as learning algorithm.
提出一种应用于手写字符识别的基于梯度归一化模糊梯度特征提取方法。
A fuzzy gradient feature extraction method based on gradient normalization applied in handwritten character recognition is proposed.
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