公开(公告)号：US20250044783A1

公开(公告)日：2025-02-06

申请号：US18713988

申请日：2022-11-07

Applicant: Lemon Inc.

Inventor： Weihao GAO ,  Ce YANG ,  Di WU ,  Chong WANG

IPC: G05B23/02

Abstract: According to embodiments of the present disclosure, there are provided a method, device, medium, and product for state prediction. The method includes: obtaining a neural network, the neural network being trained to determine a state change of a physical system over time, training data of the neural network indicating states of a plurality of physical systems at a plurality of times; obtaining state data corresponding to a state of a target physical system at a first time; determining respective unit feature representations of the physical units in the target physical system based at least on target values of material properties of the physical units; and determining a state of the target physical system at a second time based on the state data by inputting at least the unit feature representations to the neural network. Through the above solution, generalization capability of the neural network can be significantly improved.