3results about How to "Improve classification effect" patented technology

This application discloses an unsupervised classification method for dedicated power transformer users based on load curves. The method includes: acquiring user load curves; pre-classifying users based on their load curves to determine user types, including horizontal, zero-value regular, annual-cycle, daily-cycle, and random types; and performing secondary classification on annual-cycle and daily-cycle users respectively to obtain the target classification result. This application classifies dedicated power transformer users based on the characteristics of their load curves. This classification method is more suited to the electricity consumption habits of dedicated power transformer users, is highly practical, has good classification results, and can achieve accurate classification.

The application discloses a kind of wearable assembled building industry worker emotional intelligent monitoring method and device;Its technical points are in, S100, physiological signal is collected;The physiological signal includes: electrocardiogram signal;S200, the electrocardiogram signal obtained by S100 is carried out denoising processing;S300, extract heart rate variability HRV characteristics from electrocardiogram signal, including time domain feature and frequency domain feature;S400, the extracted HRV characteristics are passed through trained SVM-KNN classifier, to identify emotional category;S500, the identification result is output to handheld end.Using a kind of wearable assembled building industry worker emotional intelligent monitoring method and device, the emotion of industry worker can be effectively identified.