【摘要】 工业用水量预测对工业企业的规划、运行具有非常重要的作用。采用河南省周口市某食品加工企业近10年来工业用水量时间序列记录资料作为训练样本,提出了在支持向量机回归预测中采用粒子群算法优化参数的方法。通过算例分析表明,此算法能够显著提高预测的精度。更多还原

【Abstract】 Prediction of water demand of industrial enterprises in the planning and operation plays a very important role.,Industrial water use time series recorded data as training samples in Henan province Zhoukou city food processing enterprises of recent 10 years is used,and put forward the method using particle swarm algorithm parameter optimization in support vector machine regression prediction,The result shows that this algorithm can significantly improve the precision of prediction in the analysis of examples.更多还原