METHOD OF CONTROLLING MOTOR VEHICLE

A motor vehicle is controlled with a neural network which has a data learning capability. A present value of the throttle valve opening of the engine on the motor vehicle and a rate of change of the present value of the throttle valve opening are periodically supplied to the neural network. The neural network is controlled to learn the present value of the throttle valve opening when the rate of change of the present value of the throttle valve opening becomes zero so that a predicted value of the throttle valve opening approaches the actual value of the throttle valve opening at the time the rate of change thereof becomes zero. An operating condition of the motor vehicle is controlled based on the predicted value of the throttle valve opening, which is represented by a periodically produced output signal from the neural network.