Artificial intelligence machine learning experiment skill scoring method and system

• Main Authors: YUAN YANG, ZHAO DONG, MAI ZHIYU
• Format: Patent
• Language: Chinese; English
• Published: 30.08.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an artificial intelligence machine learning experiment skill scoring method and system, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring experimenter information and experimental environment information, and constructing a basic management framework according to the experimenter information and the experimental environment information; constructing a target experiment skill evaluation model; according to the basic evaluation indexes, based on a basic management framework, obtaining experiment data of the corresponding target personnel, importing the experiment data into a target experiment skill evaluation model, and generating evaluation information of each target personnel; matching experimental subjects in the experimental data of the target personnel with a preset subject scoring standard database to obtain scoring standard data corresponding to the experimental subjects of the target personnel; and according to the