Fuzzy pattern recognition

Fuzzy logic and fuzzy set theory are applied to various problems in chemistry. The applications range from component identification and spectral Hbrary search to fuzzy pattern recognition or calibrations of analytical methods. 

S. Marsili-Libelli and A. Muller. Adaptive fuzzy pattern recognition in the anaerobic digestion process. Pattern Recognition Letters, 17(6) 651-659, 1996. 

TABLE II Partial Fuzzy Pattern Recognition Results tor the ISNet of Fig. 8... 

Supervised learning Fuzzy pattern recognition Chromatograms... 

Wang Jianming. Study on Theories and Application of Multiobject Fuzzy Pattern Recognition Decision Making [D], Dalian Dalian University of Technology. 2004. 

Pattern Classification with Fuzzy Sets Fuzzy pattern recognition methods have been proposed in the literature for several applications, and they are the basis for classification expert systems. As an example, they were used in manufacturing to classify parts, based on the idea that any characteristics of a part corresponding to a certain class are fuzzy and an... 

Ko TJ, Cho DW, Lee JM (1992) Fuzzy pattern recognition for tool wear monitoring in diamond turning. CIRP Ann Manuf Technol 41(1) 125-128... 

Sometimes fuzzy logic controllers are combined with pattern recognition software such as artificial neural networks (Kosko, Neural Networks and Fuzzy Systems, Prentice Hall, Englewood Cliffs, New Jersey, 1992). 

Otto M, Bandemer H (1986a) Pattern recognition based on fuzzy observations for spectroscopic quality control and chromatographic fingerprinting. Anal Chim Acta 184 21... 

Bezdek, J. C. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York, 1981. 

An Environmental Application of Fuzzy C-Varieties Pattern Recognition... 

Methods for analysing the response of complex multicomponent-multifunctional systems will be needed. Global responses may be submitted to deconvolution procedures and multicomponent analysis [8.298], making use for instance of pattern recognition [8.238, 8.299], neural network [8.238, 8.300] and fuzzy logic [8.301] approaches. 

An experimentally observed ISNet is thus the fuzzy subgraph of the ISNet cluster center. Here, the word fuzzy in fuzzy graph pattern recognition has two meanings ... 

Both GTR and RTG are supergraphs. For example, cyclosporin A is a small peptide consisting of 11 residues. From its 2GF-COSY and TOCSY spectra, 11 ISNets have been found. After fuzzy graph pattern recognition, its GTR and RTG are generated as shown in Fig. 14. 

Bandemer considered the role of fuzzy set theory in analytical chemistry. The applications they described focused on pattern recognition problems, the calibration of analytical methods,quality control, and component identification and mixture evaluation. Gordon and Somorjai applied a fuzzy clustering technique to the detection of similarities among protein substructures. A molecular dynamics trajectory of a protein fragment was analyzed. In the following subsections, some applications based on the hierarchical fuzzy clustering techniques presented in this chapter are reviewed. 

The second requirement is a suitable similarity measure for the comparison of patterns. Once the patterns are defined and the quality of the experimental base data is good, pattern-recognition methods are valuable. Nevertheless, if patterns change irregularly and cannot be explicitly defined, the similarity measure no longer describes the difference between query and experimental pattern even if a fuzzy logic approach is implemented. 

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