Improve the forecast accuracy 改善预测系统的正确性
The forecast accuracy was proved to be satisfactory with an error ratio less than 6%.
检测了模型的预测精度,结果显示误差小于6%。
The results show that, ANFIS is a powerful tool for modelling human error risks, it not only improves the forecast accuracy, but saves time.
结果表明,ANFIS对于人因失误风险评价来说是一个强有力的工具,不仅提高了预测的精度而且节省了时间。
The adaptive particle swarm optimization is used to optimize the parameters of SVM so as to avoid artificial arbitrariness and enhance the forecast accuracy.
同时利用粒子群算法优化小波最小二乘支持向量机的参数,避免了人为选择参数的盲目性,从而提高了模型的预测精度。
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