Method, system and equipment for automatically updating model and storage medium
An automatic update and model technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve the problems of cumbersome model update steps, low update efficiency, concept deviation, etc., to solve the problem of cumbersome update steps Effect
Pending Publication Date: 2022-06-24
HEFEI UNIV OF TECH
View PDF3 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] In view of the above shortcomings of the prior art, the purpose of the present invention is to provide a method, system, device and storage medium for automatically updating models, so as to improve the prior art. shifting problem
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0039] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict. It should also be understood that the terms used in the embodiments of the present invention are for describing specific specific embodiments, rather than for limiting the protection scope of the present invention. In the following examples, the test methods without specific conditions are usuall...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a method, a system and equipment for automatically updating a model and a storage medium, and belongs to the technical field of model updating. The method for automatically updating the model comprises the steps of obtaining a sample data set; inputting a plurality of sample data in the sample data set into a neural network model for training to generate an old data set; if the number of untrained sample data in the sample data set is greater than or equal to a sample number threshold a, selecting a sample data as a new data set and inputting the new data set into the neural network model to obtain a training result; dividing the new data set according to a training result to obtain a credible data set; combining the trusted data set with the old data set according to a preset combination rule to obtain a composite data set, inputting the composite data set into a neural network model, and updating the neural network model; and taking the composite data set as an old data set, continuing to train untrained sample data, and automatically updating the network model. The problems that model updating steps are tedious, updating efficiency is low, and concept offset is likely to be caused are solved.
Description
technical field [0001] The present invention relates to the technical field of model updating, in particular to a method, system, device and storage medium for automatically updating a model. Background technique [0002] In the training process of the neural network model, part of the data in the training samples needs to be selected proportionally and input to the neural network for training, and then a part of the data is selected to be input into the neural network to continue training. However, the current neural network model training relies too much on artificially labeled samples, the model update steps are too cumbersome, and there is no complete algorithm for automatically updating the neural network model. Therefore, there is a need to provide a method, system, device and storage medium for automatically updating a model. SUMMARY OF THE INVENTION [0003] In view of the above shortcomings of the prior art, the purpose of the present invention is to provide a me...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/08G06F18/214
Inventor 卫星何煦董浩杰陈逸康赵冲黄晨崔元迪王申李宝璐杨奕在
Owner HEFEI UNIV OF TECH