欧拉参数是规范四元数。

Euler parameter is the normalized quaternion.

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该方法将原参数非定常欧拉方程组重新组合成以广义黎曼变量表示的欧拉方程组，再用二点二步迎风格式离散求解。

Euler equations of generalized Riemann variable are derived from unsteady primitive variable Euler equations and solved by using two - a point-two-step upwind finite difference method.

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优化特征选择，选定面积、周长、长轴、短轴、欧拉数、几何矩等共12个特征参数作为神经网络输入向量进行分类试验。

Optimization of feature selection, we select area, perimeter, long axis, short axis, Euler number, geometric moments, and a total of 12 feature parameters as input vector.

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