Aiming at the problem of corporate investment decision support, this paper proposes and constructs a stock quality evaluation model based on deep learning and applies it to the stock quality evaluation of e-commerce enterprises. Firstly, LSTM neural network is used to construct the evaluation and prediction model. Secondly, the evaluation index system is constructed. Finally, the structure and parameters of the model are designed, and the prediction model is tested and evaluated through simulation experiments. The experiments prove that the model is reasonable and feasible, which can provide a reference for investors to make decisions.

中文翻译：

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基于深度学习的企业投资决策支持模型构建

针对企业投资决策支持问题，提出并构建了基于深度学习的股票质量评价模型，并将其应用于电子商务企业的股票质量评价。首先，使用LSTM神经网络构建评估和预测模型。其次，构建评价指标体系。最后设计了模型的结构和参数，并通过仿真实验对预测模型进行了测试和评价。实验证明该模型是合理可行的，可为投资者的决策提供参考。