An evaluation method of enterprise growth based on artificial intelligence and big data technology

Abstract

The invention discloses an enterprise growth evaluation method based on artificial intelligence and big data technology. The method comprises the following steps: step 100, selecting data of partial enterprises to establish an enterprise growth evaluation index model; step 200, model cross verification; step 300, if the error of the verification result is within the allowable range, the growth evaluation index model being established successfully, otherwise, selecting the data of the enterprise again to establish the growth evaluation index model, by building an ensemble learning module and asemi-supervised learning module on the basic model, which can improve the precision, stability and generalization ability of the model more perfectly. Through ensemble learning, the method can synthesize the prediction results of multiple models, and make the prediction ability of the model more stable and reliable. Semi-supervised learning can make full use of the information of unlabeled samples, and further ensure the performance of the model.

Description

technical field [0001] The invention relates to the technical field of enterprise evaluation, in particular to an enterprise growth evaluation method based on artificial intelligence and big data technology. Background technique [0002] In recent years, in investment activities, the value of the target company, that is, the invested company, is often seen in a fog, making investors uncertain. Therefore, the value evaluation of the target company has become the most important investment decision-making link for investors. Valuation refers to the value judgment made by the buyer and the seller on the purchase or sale of the target (equity or asset). Investors calculate the value of the target company through certain methods, thus providing a price basis for the feasibility of the transaction. During the investment process, the valuation of the target enterprise is the key to its success. From the perspective of investors, both the shareholders and the investors of the targe...

AI Technical Summary

Problems solved by technology

[0006] At present, the existing enterprise growth evaluation index system construction verification is insufficient, the evaluation effect and results lack verification, the weight setting in the combination evaluation is unreasonable, and it relies too much on manual judgment, and there are problems such as interference from subjective factors.

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