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