位置:成果数据库 > 期刊 > 期刊详情页
An interval-valued fuzzy competitive neural network
  • 时间:0
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]College of Information Engineering, Dalian University, Dalian 116622
  • 相关基金:Supported by National Nature Science Foundation of China (No. 60573072)
  • 相关项目:模糊神经网络的底摩根代数聚类特性和CF图范畴结构研究
中文摘要:

因为间隔价值在聚类是相当自然的,一个珍视间隔的模糊竞争神经网络被建议。第一,这份报纸建议关于间隔数字的距离的几个定义。然后,它显示预处理输入数据,网络的结构和珍视间隔的模糊竞争神经网络的学习算法的方法。这份报纸也分析学习算法的原则。最后,一个实验被用来测试网络的有效性。

英文摘要:

Because interval value is quite natural in clustering, an interval-valued fuzzy competitive neural network is proposed. Firstly, this paper proposes several definitions of distance relating to interval number. And then, it indicates the method of preprocessing input data, the structure of the network and the learning algorithm of the interval-valued fuzzy competitive neural network. This paper also analyses the principle of the learning algorithm. At last, an experiment is used to test the validity of the network.

同期刊论文项目
同项目期刊论文