Fl-engine system in joint learning platform

Abstract

The invention discloses an F < l >-engi ne system in a joint learning platform, which comprises a joint learning platform, a local server and an internet of things access end, and is characterized in that the joint learning platform is internally provided with an intelligent ecosphere module, a joint learning plan module, a joint learning engine module and a platform support module, and the joint learning plan module and the joint learning engine module are electrically connected; and the joint learning engine module is electrically connected with the platform supporting module. The F < l >-engi ne system in the joint learning platform is provided with a joint learning engine module, and a joint machine learning algorithm, a joint deep learning algorithm, a transverse joint algorithm and a longitudinal joint algorithm are incorporated into the joint learning engine module. And a k-means clustering strategy, a hierarchical clustering strategy, an SOM clustering strategy or an FCM clustering strategy matched with the aggregation strategy module is selected from the aggregation strategy module through an adaptive mechanism to realize aggregation calculation.

Description

technical field [0001] The invention relates to the technical field of joint learning, in particular to a Fl-engine system in a joint learning platform. Background technique [0002] Machine learning algorithms have been widely used in data analysis, data mining, etc., and have achieved good results. At the same time, the machine learning algorithm is also a highly specific algorithm for specific applications or specific data, that is, once the training is completed with the given training data and uniquely determined, it will be difficult for the model to have generalizations for different data or different applications. transformation ability. Therefore, in order to make the model have the adaptive ability for different data or applications, for example, by adjusting some controllable parameters in the model to automatically adjust its model structure, it is a very effective solution to expand the generalization ability of the model. [0003] Through the joint learning o...

AI Technical Summary

Problems solved by technology

At the same time, the machine learning algorithm is also a highly specific algorithm for specific applications or specific data, that is, once the training is completed and uniquely determined using the given training data, it will be difficult for the model to have a generalized performance for different data or different applications. ability

Images