The invention relates to the technical field of
artificial intelligence, and discloses an
electric stove self-learning control method and
system based on historical use behaviors, and the method comprises the steps: enabling an
electric stove to learn and simulate the cooking
habit of a specific user through constructing and utilizing a sample
library containing the historical behavior characteristics of the user and heating control labels, and obtaining the cooking
habit of the specific user; a customized heating strategy is provided, a multi-time-window
data acquisition and two-stage similarity screening mechanism is adopted, the control opportunity is predicted in combination with time change characteristics, and it is ensured that triggering of a control instruction is synchronous with the actual demand of a user and the
cooking process. The method has the beneficial effects that the whole control process is based on continuous comparison and updating of real-
time data and historical samples, so that the
system can be continuously evolved along with the use of a user, the manual intervention burden of the user is remarkably reduced, and the cooking experience is improved.