Based on prediction of searching starting-point and gradient diamond-shaped searching technique, the paper proposes a motion vector field self-adaptive searching algorithm (MVFSAS).
在基于搜索起点预测和梯度式菱形搜索方法的基础上，提出了一种运动矢量场自适应搜索算法(MVFSAS)。
The prediction model has very strong self-adaptability because of using adaptive fuzzy neural network based on Sugeno-Tanaka fuzzy model, and the forecast result is also satisfactory.
由于预测中使用了一种基于高木-关野模糊模型的自适应模糊神经网络，从而使预测模型具有很强的自适应能力，预测结果也比较令人满意。
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