ELM是极限学习算法，处理数据快速高效，尤其是数据维数较大的时候-ELM is the limit learning algorithm, processing data fast and efficient, especially when the data dimension is large.

针对数据处理中，非光滑约束方程组的求解不具有全局收敛性的问题，结合光滑化技术设计了Levenberg Marquardt算法。(Aiming at the problem that the solution of nonsmooth constraint equations does not have global convergence in data processing, a Levenberg Marquardt algorithm is designed by combining sm

垃圾邮件处理，svm支持向量机分类，利用matlab实现，包含垃圾邮件数据(Spam processing, SVM support vector machine classification, using MATLAB, including spam data.)