Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction.

• 摘要针对选煤厂日用水量时间序列的预测问题，提出应用最小二乘支持向量机(LSSVM)这一新的机器学习方法来实现日用水量的短期预测。