为解决上述问题，提出了改进的图像自适应梯度插值。

To solve the problem, the paper proposes an improved adaptive image interpolation algorithm with gradient features.

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针对影像中梯度较小的模糊边缘，提出了一种自适应梯度的概念和边缘检测算法。

A new self-adaptive gradient is proposed for the detection of vague edges which is difficult to be detected according to traditional gradient.

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研究了简化型内回归神经网络基于自适应梯度下降法的训练算法，并提出了一种基于简化型内回归神经网络的非线性动态数据校核新方法。

An adaptive gradient descent algorithm for training simplified internally recurrent networks (SIRN) is developed and a new method of reconciling nonlinear dynamic data based on SIRN is proposed.

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