In the context of artificial intelligence, the path of knowledge transmission needs to be transformed. In essence, the transmission of knowledge and the transformation of information transmission methods are integrated. This paper studies the foreign object tracking algorithm, analyzes the error inthe target tracking algorithm, and uses the BP neural network principle to modify the IMM algorithm. Aiming at the problem of low tracking accuracy when the target is maneuvering, this paper analyzes the linearization error of Kalman filter and builds a BP neural network to correct the tracking model of IMM. The model creates a target prediction training set and a test set, optimizes the parameters of the neural network, and conducts simulation experiments using MATLAB, which proved that the model had a higher accuracy in predicting the target trajectory of foreign objects. Therefore, the transformation of ideological and political teaching mode in colleges and universities can be realized, and the intelligent classroom of ideological and political education and intelligent communication have technical support.

中文翻译：

---

基于人工智能的高校思想政治教育转型有效模式

在人工智能的背景下，知识传播的路径需要转变。从本质上讲，知识的传递和信息传递方式的转变是一体的。本文研究了异物跟踪算法，分析了目标跟踪算法中的误差，并利用BP神经网络原理对IMM算法进行了修正。针对目标机动时跟踪精度低的问题，分析了卡尔曼滤波器的线性化误差，构建了BP神经网络对IMM的跟踪模型进行修正。该模型创建目标预测训练集和测试集，优化神经网络参数，并使用MATLAB进行仿真实验，证明该模型在预测异物的目标轨迹方面具有较高的准确率。因此，高校思想政治教学模式的转变是可以实现的，思想政治教育智慧课堂、智慧传播有技术支撑。