Automobile clutch control comfort evaluation method based on artificial neural network

The invention relates to an automobile clutch control comfort evaluation method based on an artificial neural network. The method is characterized in that the computer simulation capability is utilized for setting up an error back propagation neural network model, acquired comfort subjective scoring of industry experts is mapped to each measurable objective parameter index via the neural network by constructing a test platform, and accordingly, quantized scoring of comfort is achieved.