svm 的参数优化，利用pso(粒子群优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能-Svm parameter optimization, the use of pso (particle swarm optimization algorithm) to　the optimal parameter c g, and ultimately improve the training set classification accuracy, better improve the classifier performance