Re-learning system based on multi-algorithm fusion

Abstract

The invention discloses a multi-algorithm fusion-based re-learning system, and mainly relates to the technical field of artificial intelligence. Comprising a data preprocessing module, a multi-algorithm fusion module, a re-learning module, a performance evaluation module and an output module, and the multi-algorithm fusion module adopts an adaptive weighting mechanism and adjusts the weight of each algorithm in real time according to data features and algorithm performance. The method has the beneficial effects that the generalization capability and the robustness of the system are remarkably improved by integrating multiple algorithms and combining an adaptive weighting mechanism. Therefore, the system can process complex and changeable data sets more effectively, and an efficient and stable intelligent solution is provided for multiple fields of financial analysis, medical health, intelligent manufacturing and the like.

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