数据挖掘技术在运动目标轨迹预测中的应用

Application of Data Mining Technology in Predicting the Track of Moving Object

该文提出了一种利用数据挖掘技术对运动目标的轨迹进行预测的方法,给出了具体的预测算法和实例。并在传统的人工神经网络和遗传算法的基础上,提出了一种新的方法:混配。采用混配的方法,克服了遗传算法中所存在的种群内过早收敛的缺点,极大地提高了预测算法的准确度。

This paper presents a method of predicting the track of moving object b as ed on data mining technology.The corresponding predicting algorithm is also giv en in the paper.A novel method named commingle copulation is presented based on traditional artificial neural network and genetic algorithm in this paper.The mothod of commingle copulation overcomes the shortcoming of converging too fast existing in species in genetic algorithm.The precision of the predicting algori thm is largely improved.