1993 Fiscal Year Final Research Report Summary
Pattern Recognition of Solidification and Worked Microstructures using Neural Networks
| Project/Area Number |
04650626
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
金属加工(含鋳造)
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| Research Institution | The University of Tokyo |
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Principal Investigator |
SUZUKI Toshio The University of Tokyo, Faculty of Engineering, associate professor, 工学部, 助教授 (70115111)
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| Project Period (FY) |
1992 – 1993
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| Keywords | neural network / pattern recognition / microstructure / graphite shape / grain size |
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| Research Abstract |
A pattern recognition system for microstructures using neural networks has been developed. The system consists of two neural networks, a feature extraction network and a classification network. The feature extraction network classifies local area patterns of an input image into reference vectors and generates the histgram of the classified vectors. The classification network learns the histgram data of sample images using back-propagation algorithm and classifies the microstructures into predetermined categories. The system shows high performance in the classification of graphite shapes in cast irons and of grain sizes of stainless steel.
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