This paper proposes a recursive forecast method for elevator traffic flow based on outlier detection.
提出一种基于异常值检测的电梯交通流递归预测方法。
By employing an artificial immune clustering algorithm, the elevator traffic flow in a certain building during one week was analyzed.
采用人工免疫聚类算法对某大楼一周内的电梯交通流进行了分析。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
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