Milling current control model based on gradient lifting regression algorithm

• Main Authors: SHI CHENGHAO, CUI HAOLIANG, ZHANG WEN, HAN GUANGYANG
• Format: Patent
• Language: Chinese; English
• Published: 25.07.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a milling current control model based on a gradient boosting regression algorithm, and relates to the technical field of milling current control based on the gradient boosting regression algorithm, and the milling current control model based on the gradient boosting regression algorithm comprises the following steps: determining a prediction measurement index of the milling current of a rice mill, extracting real data of related indexes of the rice mill in a production environment; real data is cleaned, a gradient lifting regression algorithm model is established, data distribution is fitted through a training model, and meanwhile, the training data is over-fitted in a mode of setting corresponding model parameters according to an algorithm; and continuously adjusting and optimizing the model according to a result to finally obtain a milling current prediction model meeting a production condition prediction index, and constructing the milling current prediction model by adopting a grad