The paper gives a new approach based on Reverse Engineering to making up a 3D object model library. Afterward, we establish corresponding relation of vertex of two objects and realize a deform animation in two 3D objects through self adapting re-sampling.
提出采用反求工程的原理构造三维物体模型库,然后对两个三维物体进行自适应重采样的方法来建立两个物体顶点之间的对应关系,实现了两个三维物体之间的变形动画。
A reverse transmission calculation of self adapting learning rate with momentum gradient reduction is described in the paper against the problems of slow convergence and easy trapping into smallest spot.
针对BP网络学习收敛速度慢和易陷入局部最小点的不足,提出了一种自适应学习速率动量梯度下降反向传播算法对BP神经网络进行训练。
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