PREDICT IN CRYSTALLIZING PROCESS OF CANE SUGAR BASED ON WAVELET ANALYSIS AND RBF NEURAL NETWORKS

WEN Shao-chun; LUO Fei; FU Lian-xu; ZHU Chun-ming

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Volume 31 Issue 2

Apr. 2002

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INFORMATION AND CONTROL > 2002 > 31(2): 141-145.

WEN Shao-chun, LUO Fei, FU Lian-xu, ZHU Chun-ming. PREDICT IN CRYSTALLIZING PROCESS OF CANE SUGAR BASED ON WAVELET ANALYSIS AND RBF NEURAL NETWORKS[J]. INFORMATION AND CONTROL, 2002, 31(2): 141-145.

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PREDICT IN CRYSTALLIZING PROCESS OF CANE SUGAR BASED ON WAVELET ANALYSIS AND RBF NEURAL NETWORKS

College of Electronic & Information Engineering, South China University of Technology, Guangzhou 510640

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Received Date: July 29, 2001
Published Date: April 19, 2002

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According to the problems such as the unaffected sensor, the unavailable parameters in crystallizing process of cane sugar, a kind of RBF neural network model is built in this paper. In the model, the RBF networks are combined with wavelet analysis. The empirical test indicates the model can approximate the realistic process of cane sugar.
- wavelet analysis,
- neural networks,
- RBF networks,
- learn,
- weight

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[1]	B.T.卡略夏等著,杜松龄等译校.煮糖过程的强化.轻工业出版社,1989
[2]	无锡轻工业学院,华南工学院编著.甘蔗制糖工艺学.轻工业出版社,1982
[3]	广东省糖纸食品工业公司编.糖膏煮炼与助晶.轻工业出版社,1985
[4]	陈树功编著.现代制糖工艺理论.轻工业出版社,1988
[5]	陈哲等.小波分析与神经网络结合的研究发展.电子科学学刊,22(3)
[6]	董新洲等.小波变换.继电器学刊,1999,27(1)

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PREDICT IN CRYSTALLIZING PROCESS OF CANE SUGAR BASED ON WAVELET ANALYSIS AND RBF NEURAL NETWORKS

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