2 results about "Kernel partial least squares" patented technology

The invention relates to the field of new energy automobile control, in particular to a new energy automobile thermal management system based on the AI technology and an intelligent control method thereof, and the method comprises the steps: building a multi-field coupling feature set based on a multi-source heterogeneous original signal in the operation process of a new energy automobile; a kernel partial least squares algorithm is used as a prediction framework, a local linear mechanism is introduced to carry out dimension reduction processing, and a final thermal management key parameter prediction value is obtained through an embedded fuzzy reasoning strategy; and in combination with one-by-one simulation of the thermal management system simulation model, an optimal control strategy set is obtained. According to the method, the optimal neighbor sample is screened through the Euclidean distance measurement feature sample similarity, the local embedded weight is locked, the low-dimensional space dimension is dynamically adapted in combination with kernel density analysis, and iterative optimization is performed through the gradient descent method, so that invalid redundant information in the multi-field coupling features is eliminated, the calculation complexity of a subsequent prediction model is reduced, and the prediction efficiency is improved. And a local nonlinear correlation structure which plays a key role in thermal management state change is reserved to the greatest extent.

This invention provides a method and system for the supermicrowave digestion and determination of thallium in ores. Based on X-ray fluorescence spectroscopy, the matrix insolubility index is calculated to establish the digestion decision variables. Redundant points are eliminated using Sobol sequences combined with Thiessen polygons, and a non-uniform experimental design is constructed to obtain training data. On this basis, a hybrid response surface model is constructed, and kernel partial least squares regression is applied to fit the main trend, Gaussian process regression is used to process the residuals, and the interference index is introduced as a hyperparameter. The Grey Wolf optimization algorithm, incorporating Lévy flight, is used to optimize the ore while ensuring low residual organic carbon and maximizing the recovery rate. The obtained optimal parameters are used for supermicrowave digestion of the ore, and the thallium content is determined by ICP-MS, achieving efficient and accurate detection.