介绍了PSO算法，以及与遗传算法/人工神经网络的区别，并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.

Modified binary PSO for feature selection using SVM applied to mortality prediction of septic patients

Robust Optimal PSO based Wavelet Feature Selection in MIMO OFDM Systems

近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an