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The application of fuzzy neural network for contamination control of hydraulic oil

By organically combining fuzzy control with neural networks, a fuzzy neural network (FNN) for the contamination control of hydraulic oil is established. Using this FNN, the contamination degree of hydraulic oil can be effectively determined, and the contamination reasons can be found initially. Also, the corresponding control measurements are provided.