基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.

合成孔径雷达（SAR)目标成像仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,光纤陀螺输出误差的allan方差分析。- Synthetic Aperture Radar (SAR) imaging simulation target, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, allan FOG output error variance analysis.

调试通过可以使用，包括最小二乘法、SVM、神经网络、1_k近邻法,单径或多径瑞利衰落信道仿真。- Debugging can be used, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Single path or multipath Rayleigh fading channel simulation.