Fuzzy neural network for part family formation

机译：模糊神经网络零件家族形成

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The Fuzzy Min-Max Clustering Neural Network is proposed for the unsupervised formation of part families in a cellular manufacturing environment. When part feature vectors are the rows of a binary part-machine incidence matrix, the minimum and maximum vectors defining each category as well as the maximum category size and the expansion and contraction of categories are interpreted in terms of the number of parts that require all or just some of the machines in the cell. Similarities and differences between this approach and previous ones based on Fuzzy ART are discussed. Computational experiences comparing the proposed approach with two Fuzzy ART and two FCM-based fuzzy clustering approaches are presented.

机译：提出了模糊的MIN-MAX聚类神经网络，用于蜂窝制造环境中的零件系列的无监督形成。当零件特征向量是二进制部分机器入射矩阵的行时，在需要所有所有人的部件数量方面解释了定义每个类别的最小和最大向量以及类别的最大类别大小以及类别的扩展和收缩。或者只是细胞中的一些机器。讨论了基于模糊艺术的这种方法与先前艺术的相似性和差异。介绍了与两个模糊艺术的提出方法和两个基于FCCM的模糊聚类方法进行比较的计算经验。

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《ASME Artificial Neural Networks in Engineering Conference》|1999年||共6页
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S. Lozano; D. Dobado; I. Eguia; F. Guerrero; D. Canca;
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中图分类 TP18-53;
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1. Fuzzy generalization of the counter-propagation neural network: a family of soft competitive basis function neural networks [J] . Z. Zhang, N. Zheng, T. Wang Soft computing: A fusion of foundations, methodologies and applications . 2001,第6期

机译：反向传播神经网络的模糊概括：一族软竞争基础函数神经网络
2. Part family formation through fuzzy ART2 neural network [J] . R.J. Kuo, Y.T. Su, C.Y. Chiu, Decision support systems . 2006,第1期

机译：通过模糊ART2神经网络形成零件族
3. A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering [J] . Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz Knowledge-Based Systems . 2010,第3期

机译：信息多项式通过模糊聚类形成的并行多项式神经网络的模糊集合
4. Fuzzy neural network for part family formation [C] . S. Lozano, D. Dobado, I. Eguia, ASME Artificial Neural Networks in Engineering Conference . 1999

机译：模糊神经网络零件家族形成
5. Properties of learning of the Fuzzy ART neural network and improvements of the generalization performance of the Fuzzy ARTMAP neural network. [D] . Dagher, Issam J. 1997

机译：Fuzzy ART神经网络的学习性质和Fuzzy ARTMAP神经网络的泛化性能的改进。
6. A General Fuzzy Cerebellar Model Neural Network Multidimensional Classifier Using Intuitionistic Fuzzy Sets for Medical Identification [O] . Jing Zhao, Lo-Yi Lin, Chih-Min Lin 2016

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7. The Implementation Of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks Using FPGAs. [O] . J.J. Blake, L.P. McGuire, Ginnity Lj Mcdaid 2007

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8. Learning control of inverted pendulum system by neural network driven fuzzy reasoning: The learning function of NN-driven fuzzy reasoning under changes of reasoning environment [R] . Hayashi, Isao, Nomura, Hiroyoshi, Wakami, Noboru 1991

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Fuzzy neural network for part family formation

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