In this paper, the theory of Strong tracking filtering (STF) is applied in the object prediction of autonomous robots to avoid the disadvantages of other methods by introducing fading factors.
本文提出将强跟踪滤波理论应用于全自主机器人目标预测,通过引入渐消因子,克服了其它目标预测方法的缺点。
Autonomous learning is affected by learners internal factors and social context.
自主学习受到学习者内部因素和外部环境两方面的影响。
There are many factors influencing autonomous learning: the level of learners, the external environment, teaching materials, equipments and teachers, etc.
影响自主学习的因素很多: 学习者本身的条件、外部环境、教材、设施和教师等。
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