3 results about "Set estimation" patented technology

The invention discloses a new engineering course teaching evaluation method based on a knowledge-ability-quality triple atlas, and belongs to the technical field of intelligent education and intelligent control. Collecting data of three dimensions of knowledge, ability and quality of students to construct a unified state vector, and describing dynamic evolution of a learning process by combining a state updating and prediction model of a residual network; a multi-cell filtering method is adopted to carry out state set estimation, linear propagation and residual local linearization are combined in the prediction step, and a Lipschitz upper bound is utilized to carry out external connection on a nonlinear residual to ensure the safety and credibility of state interval estimation; in the updating step, set tightening is achieved through prediction strip intersection and generator contraction, coverage rate calibration based on quantiles is introduced, and the confidence level of set estimation is ensured. According to the method, the learning state of the student can be dynamically, stably and interpretably estimated, accurate and efficient course adjustment optimization is realized, and the method has a good application prospect and popularization value.

Example implementations related to next state prediction and action selection are disclosed. In an example, an initial state is estimated based on a set of priors including at least one engagement opportunity. A diminishing effect of the at least one engagement opportunity is determined using a non-linear transformation and a set of likelihood estimates for the initial state is generated using a Bayesian steady state filter model that receives the initial state and the diminishing effect of the at least one engagement opportunity. A next state is predicted based on the initial state and the set of likelihood estimates.

The application discloses a kind of new engineering course teaching evaluation methods based on knowledge-ability-quality triple spectrum, belong to wisdom education and intelligent control technical field.Data of three dimensions of student knowledge, ability and quality are collected to construct a unified state vector, and the dynamic evolution of the learning process is described by combining the state update and prediction model of residual network;Multi-cell filtering method is used for state set estimation, and in the prediction step, linear propagation and residual local linearization are combined, and the safety and reliability of state interval estimation are guaranteed by using Lipschitz upper bound to circumscribe the nonlinear residual;In the update step, the set is tightened by the intersection of the prediction strip and the generator contraction, the coverage calibration based on quantile is introduced to ensure the confidence level of set estimation.The application can dynamically, stably and explainably estimate the learning state of students, and realize accurate and efficient course adjustment optimization, with good application prospect and popularization value.