Industrial economic operation index prediction model combining deep learning and ensemble learning

Abstract

The invention discloses an industrial economic operation index prediction model combining deep learning and ensemble learning. The industrial economic operation index prediction model specifically comprises the following modeling steps: step 1, preparing in-mold characteristics; step 2, establishing a sub-model; and step 3, calculating a mean value. The invention relates to the technical field of artificial intelligence. According to the industrial economic operation index prediction model combining deep learning and ensemble learning, a large number of data samples are collected, the model is effectively trained, related data indexes are transformed and derived, the final in-model features are determined, more feature enhancement work does not need to be carried out, the workload is effectively reduced. And when the index value fluctuates greatly, the accuracy of a recent prediction result is ensured, so that the future trend is clearly judged and predicted, a basis is provided for accurate prediction of the index, data and a theoretical basis are provided for implementation of regulation and control of industrial economy, and the industrial economy is enabled to maintain continuous, stable and healthy development.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an industrial economic operation index prediction model combined with deep learning and integrated learning. Background technique [0002] As a large industrial country, industry is the leading force driving my country's economic development. In recent years, due to the increasingly fierce market competition and the rapid growth of industrial costs, especially the impact of the recent epidemic situation, new problems have emerged in the operation of the industrial economy. Facing new situations, the monitoring of industrial economic indicators has provided relevant departments with a basis for the development of the industrial economy. Trends provide a basis for research and judgment, so as to accurately grasp the past and current situation. Prediction of industrial economic indicators in advance, making clear judgments and predictions on future trends, providing...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an industrial economic operation index prediction model combined with deep learning and integrated learning, which solves the problem that there are few data samples, the general model algorithm is difficult to effectively train, and when modeling, it is necessary to The problem with doing more feature augmentation work

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