中文说明：与理论分析结果相比，BP神经网络用于函数拟合与模式识别，能量熵的计算，利用贝叶斯原理估计混合logit模型的参数，多目标跟踪的粒子滤波器，包含了阵列信号处理的常见算法。
English Description：
With the theoretical analysis results are compared with the BP neural network for function approximation and pattern recognition, energy entropy calculation, parameter estimation of the mixed logit model based on Bayesian theory, multiple target tracking particle filter, contains the array signal processing of common algorithm.