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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11, Pages 33-37

Abstract: >Based on optimization of constrained nonlinear programming, an approach of clustering center and a fuzzymembership function of pattern classification are derived from an objective function of the constrainedAn unsupervised algorithm with recursive expression and a fuzzy central cluster neural network are suggestedThe fuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision inpattern classification.

Keywords： fuzzy sets central cluster pattern recognition neural network

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Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration

Li Dejun,Lv Runhua,Wang Runtian

Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 81-84

Abstract: Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering

Keywords： fuzzy pattern recognition nearest neighbor(NN) cooperative clustering algorithm(CCA) slurry concentration

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Theory Model and a Method for Qualitative Assessment of Sustainable Development of Regional Water Resources

Chen Shouyu

Strategic Study of CAE 2001, Volume 3, Issue 2, Pages 33-38

Abstract: between sustainable development and bearing capacity of regional water resources, this paper presents a fuzzypattern recognition model and a method for qualitative assessment of sustainable development of regional

Keywords： water resources sustainable development assessment pattern recognition fuzzy

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PD pattern recognition based on multi-fractal dimension in GIS

ZHANG Xiaoxing, YAO Yao, TANG Ju, ZHOU Qian, XU Zhongrong

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3, Pages 270-275 doi: 10.1007/s11465-008-0042-1

Abstract: This paper designs four types of gas insulated substation (GIS) defect models based on partial discharge (PD) characteristics and its defections. The GIS gray intensity images are constructed based on the mass specimens gathered by the ultra-high frequency and high-speed sampling systems. The multi-fractal dimension is founded on the box-counting dimension and multi-fractal theories. The GIS gray intensity images distillation methods, based on multi-fractal characteristics, is put forward. The box-counting dimension, multi-fractal dimension, and discharge centrobaric characteristics of the PD images are also extracted. The characteristic variables are then classified by the radial basis function (RBF) network. Identified results show that the methods can effectively elevate the discrimination of the four types of defects in GIS.

Keywords： substation high-speed discharge centrobaric network ultra-high frequency

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Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Strategic Study of CAE 2004, Volume 6, Issue 2, Pages 56-60

Abstract: In the light of the theory of radial basis function neural networks, fault pattern of rolling bearingTheory and experiment show that the recognition of fault pattern of rolling bearing based on radial basis

Keywords： rolling bearing vibration signal AR model RBF neural networks pattern recognition

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Performance Evaluation in Automatic Target Recognition Based on Fuzzy Comprehensive Evaluation and Statistics

Li Yanpeng,Li Xiang,Wang Hongqiang,Zhuang Zhaowen

Strategic Study of CAE 2005, Volume 7, Issue 3, Pages 64-68

Abstract:

Aiming at performance evaluation of Automatic Target Recognition (ATR), the evaluation indexes andThen, with the application of fuzzy comprehensive evaluation, an opening performance evaluation model

Keywords： statistics fuzzy comprehensive evaluation automatic target recognition performance evaluation

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A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Strategic Study of CAE 2003, Volume 5, Issue 12, Pages 60-65

Abstract: In order to deal with ill-defined or real experimental data, an input object is represented as a fuzzyvariable by fuzzy membership function, and the significant factor of the input feature correspondingto output pattern classification is incorporated to constitute a fuzzy inference so that to enhanceA new kind of rough fuzzy neural classifier and a learning algorithm with LSE are proposed in this paperA integration of the merits of fuzzy and neural network technologies can not only accommodate overlapping

Keywords： fuzzy sets rough sets neural networks pattern classification

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A Study on the Essence of Optimal Statistical Uncorrelated Discriminant Vectors

Wu Xiaojun,Yang Jingyu,Wang Shitong,Liu Tongming,Josef Kittler

Strategic Study of CAE 2004, Volume 6, Issue 2, Pages 44-47

Abstract:

A study has been made on the essence of optimal set of uncorrelated discriminant vectors in this paper. A whitening transform has been constructed on the basis of the eigen decomposition of population scatter matrix, which makes the population scatter matrix an identity matrix in the transformed sample space. Thus, the optimal discriminant vectors solved by conventional LDA methods are statistical uncorrelated. The research indicates that the essence of the statistical uncorrelated discriminant transform is the whitening transform plus conventional linear discriminant transform. The distinguished characteristic of the proposed method is that the obtained optimal discriminant vectors are orthogonal and statistical uncorrelated. The proposed method suits for all the problems of algebraic feature extraction. The numerical experiments on facial database of ORL show the effectiveness of the proposed method.

Keywords： pattern recognition feature extraction disciminant analysis generalized optimal set of discriminantvectors face recognition

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A minimized fluorescent chemosensor array utilizing carboxylate-attached polythiophenes on a chip for metal ions detection

Yui Sasaki, Xiaojun Lyu, Zhoujie Zhang, Tsuyoshi Minami

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1, Pages 72-80 doi: 10.1007/s11705-021-2037-y

Abstract: Upon recognition of the metal ions, the polythiophenes exhibited changes in their fluorescence intensityAlthough both chemosensors have the same polymer backbone and recognition moiety, only the difference

Keywords： metal ions polythiophene chemosensor array fluorescence pattern recognition

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Learning and Applications of Procedure Neural Networks

He Xingui,Liang Jiuzhen,Xu Shaohua

Strategic Study of CAE 2001, Volume 3, Issue 4, Pages 31-35

Abstract: Weight bases selection rules and pattern curve standard problems are also discussed.

Keywords： procedure neural networks learning algorithm pattern recognition chemical reaction seepage

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Qian Xuesen and Noetic Science

Lu Mingsen

Strategic Study of CAE 2002, Volume 4, Issue 2, Pages 8-15

Abstract:

This article analyzes the background and the necessity of the establishment of noetic science which was initiated by Qian Xuesen. The article also presents a whole string of Qian’s views on the object of study, basic approach and ideological root of noetic science. The article describes in particular that noetic science is one of the eleven department of the contemporary system of science and technology. It contains three hierarchies, as fundamental science, technical science and engineering. The preliminary achievements in each hierarchy in the recent two decades are presented.

Keywords： cognitive science noetic science abstractive thinking figurative thinking creative thinking pattern recognition

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第二届中国模式识别与计算机视觉学术会议（Chinese Conference on Pattern Recognition and Computer Vision）

Conference Date: 8 Nov 2019

Conference Place: 中国/陕西/西安

Administered by: 中国图象图形学学会、中国计算机学会、中国自动化学会、中国人工智能学会

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: It is a very important task to automatically fix the number of die in the image recognition system ofA multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedAs a result, time consumed by one image recognition is shortened, the performance of the image recognition

Keywords： clustering different recognition algorithm Algorithm multiobjective

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Advances in tissue state recognition in spinal surgery: a review

Hao Qu, Yu Zhao

Frontiers of Medicine 2021, Volume 15, Issue 4, Pages 575-584 doi: 10.1007/s11684-020-0816-3

Abstract: has become the focus of spinal surgery research so as to strengthen the objectivity of tissue state recognitionThis article reviews the progress of different tissue state recognition methods in spinal surgery and

Keywords： spinal surgery tissue state recognition image force sensing bioelectrical impedance

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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords： incomplete fuzzy information system fuzzy compatible relation fuzzy rough set fuzzy covering fuzzy roughentropy fuzzy knowledge dependency