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《ACTA ELECTRONICA SINICA》 2000-01
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Analysis of the Recognition Performances of Synergetic Neural Network

ZHAO Tong; QI Fei-hu; FENG Jiong (Dept. of Computer Science & Engineering, Shanghai Jiaotong University ,Shanghai 200030 China)  
The performance of synergetic neural network(SNN) is discussed. Based on the theory of SNN on Pattern recognition, the stability and recognition rate of discrete SNN are analyzed. We compare its performances with traditional neural network- Hopfield network in the application in real images recognition.At last,we point out that Synergetic neural network has great advantages in the recognition of the real Chinese character images.
【Fund】: 国家自然科学基金!(NO.69772002)
【CateGory Index】: TP183
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