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Abstract：
A fuzzy neural network was proposed with a supervised learning algorithm, and fuzzy logic control (FLC) for blood pressure was projected into the network. The fuzzy control rules were distributively stored in the fuzzy neural network as the weighing factors in neuron connexion. The supervised learning algorithm was programmed for modification of the weighing factors, so that SOFNC using fuzzy neural network possessed the ability to modify the rules. The results of simulation study showed that SOFNC using fuzzy neural network was efficient for blood pressure control during anesthesia.A fuzzy neural network was proposed with a supervised learning algorithm, and fuzzy logic control (FLC) for blood pressure was projected into the network. The fuzzy control rules were distributively stored in the fuzzy neural network as the weighting factors in neuron connection. The supervised learning algorithm was programmed for modification of the weighting factors, so that SOFNC using fuzzy neural network possessed the ability to modify the rules. The results of simulation study show that SOFNC using fuzzy neural network is efficient for blood pressure control during anesthesia.
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Chinese Journal of Biomedical Engineering
ISSN： 0258-8021
Year： 1998
Issue： 3
Volume： 17
Page： 257-264
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ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 7
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