Patent ID: 6078857
Filing Date: 2000-06-20
Classification: B60W,F16H,G05B

Abstract:
A shift pattern deciding apparatus, comprising:a driving operation quantity sensor for sensing a driver's driving operation quantity and outputting a driving operation quantity vector X[k];a moving-average calculator for receiving the vector X[k] and calculating moving-average vector M[k];a network operator for receiving the vector X[k], performing a neural network operation, and outputting a network output vector NET, wherein the network operator outputs the network output vector NET by multiplying the driving operation quantity vector X[k] by an update weighting coefficient matrix W;a neural network learning algorithm unit for receiving an error vector E, wherein the error vector E corresponds to the vector M[k] minus the vector NET, and wherein the neural network learning algorithm performs neural network learning and feeds back a learned result to the network operator, and wherein the neural network learning algorithm unit obtains an update weighting coefficient matrix dW by multiplying the error vector E by a learning rate .eta., and adds the update weighting coefficient matrix dW to the weighting coefficient matrix W by feeding back the update weighting coefficient matrix dW to the network operator; anda fuzzy inference unit for receiving the network output vector NET, performing fuzzy inference, and deciding an optimal shift pattern suitable for a driving habit of the driver, andwherein the moving-average vector M[k] is obtained by the following expression, using the driving operation quantity vector X[k] and an n delay driving operation quantity vector X[k-n] which the driving operation vector X[k] is delayed by n:M[k]=M[k-1]+1/n(X [k]-X[k-n]).