5 results about "Network error" patented technology

This invention discloses a method and system for intelligent diagnosis and optimization of network anomalies in iOS device apps. The method specifically includes: parsing system logs to identify network error patterns, and temporally associating the identified network error patterns with user operation event sequences to form a preliminary diagnostic event chain; extracting features and performing semantic understanding on interface screenshots and voice descriptions, and matching them with a preset fault knowledge base to obtain preliminary fault inferences; constructing a relationship graph based on the preliminary diagnostic event chain and preliminary fault inferences, calculating the probability of each node as the root cause of the network anomaly, and outputting the root cause location result; and generating a targeted personalized configuration optimization suggestion sequence based on the root cause location result through interactive exploration. This invention achieves accurate diagnosis and personalized optimization of network anomalies in iOS device apps, enabling rapid location of the root cause of the problem, reducing the time and cost of manual troubleshooting, and improving fault handling efficiency and user experience.

The application relates to a control method for dynamic walking of a biped robot and the biped robot, and belongs to the technical field of robot control, which comprises the following steps: 1, a self-recurrent cerebellar model neural network is used to establish a dynamic model of the biped robot with a disturbance term, and dynamic robust walking of the biped robot is converted into a problem of realizing stability of a multi-input multi-output nonlinear system with a bounded uncertain term; 2, an adaptive self-recurrent cerebellar model neural network error observer is designed to estimate an error upper limit; 3, an adaptive law of network weight is designed to realize real-time updating of the network weight space and to adjust parameters of each learning factor; and 4, a boundary value estimation algorithm is used to compensate for an estimation error and feedback to a robot walking system, so that the biped robot can realize asymptotic stable walking. The application enables the control system to adapt to time-varying characteristics of the biped walking system on line, and has continuous learning and adaptive capacity for unknown dynamics.

The application discloses a network error page display method and device, equipment, storage medium and product, and relates to the technical field of computers, which comprises the following steps: when an error occurs in accessing a website, obtaining a network error page corresponding to the error; generating explanation information corresponding to the network error page based on a large language model; modifying the content of the network error page according to the explanation information, obtaining a new network error page, and displaying the new network error page. Since the application generates explanation information corresponding to the network error page based on a large language model when an error occurs in accessing a website, modifies the network error page according to the explanation information, obtains a new network error page, and displays the new network error page, compared with the existing method of directly displaying the network error page when an error occurs in accessing a website, the above-mentioned method can display explanation information of the network error page that is easy for users to understand, helps users quickly analyze and locate network problems in the browser, and improves the user experience.

This invention discloses an adaptive network data acquisition method and system based on error detection, belonging to the field of power distribution communication network operation monitoring and data acquisition technology. The method includes: acquiring error detection results based on a preset multi-error detection algorithm and pre-acquired power distribution network data; triggering frequency adjustment when a network error is detected; acquiring the number of errors based on a preset sliding time window and the error detection results; acquiring the error severity based on the number of errors and a preset anomaly threshold; acquiring a target acquisition frequency based on preset frequency adjustment parameters when a preset frequency adjustment condition is met; updating the current acquisition frequency to the target acquisition frequency, and acquiring the current power distribution network data based on the target acquisition frequency, thus achieving adaptive network data acquisition. This invention discloses an adaptive network data acquisition method and system based on error detection, which can solve the technical problem of the lack of adaptive capability in existing acquisition strategies.

This invention discloses a method and apparatus for DOA estimation based on a spatially smoothed weighted sparse Bayesian algorithm. The method includes: reconstructing and normalizing the covariance matrix of the received signal from the array and the theoretical covariance matrix, and considering off-network error to construct a sparse reconstruction DOA estimation model under off-network conditions; obtaining a weight vector based on the spatially smoothed Capon algorithm and the theoretical covariance matrix; updating the parameters of the sparse Bayesian learning in the sparse reconstruction DOA estimation model according to the weight vector to obtain the first parameter; performing adaptive grid refinement based on the first parameter and the bipartite grid interpolation method, and iteratively updating the parameters of the sparse Bayesian learning; ending the iteration when a preset convergence condition is met, and outputting the DOA estimate.