可能使用进化c回归聚类进行能源消耗概况分类

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI:10.1109/EAIS.2015.7368792

D. Dovžan, I. Škrjanc

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引用次数: 5

摘要

本文提出了一种利用进化的c回归方法对能源消耗曲线进行分类的思路。集群原型(中心)通常被定义为中心周围数据的平均值。聚类中心是一个数值向量。本文提出的方法采用Takagi-Sugeno模糊模型作为聚类原型。在对方法进行描述的同时，给出了能耗曲线分类的初步结果。

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Possible use of evolving c-regression clustering for energy consumption profiles classification

In this paper an idea for classification of energy consumption profiles using an evolving c-regression method is presented. Cluster prototypes (centers) are usually defined as a mean of data around the center. The cluster center is a vector of numerical values. The method presented in this paper uses Takagi-Sugeno fuzzy models as a cluster prototype. Beside the method description also preliminary results of energy consumption profiles classification are given.

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2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)

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