2results about How to "Improve learning accuracy" patented technology

The present application belongs to the field of feature extraction in machine learning, in particular to a device damage feature screening method based on information entropy and Person correlation coefficient. First, according to the principle of power law, the method of fuzzy mutual information is used to select strong correlation features, in order to reduce redundancy, by referring to matrix transformation, the Person correlation coefficient is used to calculate the correlation between strong correlation features, and the redundant features with strong correlation are removed, finally, in order to improve the complementarity, whether there is strong correlation based on combination in the remaining other features is considered by using joint adjustment mutual information calculation. Compared with the prior art, the present application not only considers the correlation between features, but also reduces the redundancy between features, and also considers the complementarity between features from the joint feature angle, thereby maximizing the accuracy of feature selection and improving the efficiency of machine learning method.

A motor torque learning device that learns an optimal value of an instruction torque of a motor in order to maximize a performance index value and stop rotation of a crank at a target stop position, the motor torque learning device including: a storage device that stores an environment model that takes a first engine speed and a first crank position during an internal combustion engine stop process and an instruction torque as inputs and outputs a changed second engine speed and a second crank position corresponding to application of the instruction torque as input to the crank and a performance index value as a reward obtained with application of the instruction torque; and a policy learning unit that learns a relationship of the optimal value of the instruction torque for maximizing the reward with respect to the first engine speed and the first crank position by changing the instruction torque and repeatedly performing an operation of obtaining an output of the environment model with respect to inputs of the first engine speed, the first crank position, and the instruction torque.