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DATA ANALYSIS METHOD, COMPUTER READABLE STORAGE MEDIUM, TERMINAL DEVICE AND APPARATUS

机译:数据分析方法,计算机可读存储介质,终端设备和装置

摘要

The present application belongs to the technical field of computers, and particularly relates to a data analysis method, a computer readable storage medium, a terminal device and an apparatus. Said method comprises: firstly crawling, by means of a search engine, financial data of an enterprise to be analyzed; extracting specified financial indexes from the financial data, so as to form a first index vector; then inputting the first index vector into a preset first neural network model for processing, so as to obtain a first output vector; inputting a second index vector, which is selected from a preset template database, into a preset second neural network model for processing, so as to obtain a second output vector; calculating a similarity between the first output vector and the second output vector; and finally determining, as a financial mode of the enterprise to be analyzed, a financial mode represented by a template index vector corresponding to a similarity having the maximum numerical value. In embodiments of the present application, the traditional artificial analysis is replaced with intelligent analysis of a neural network model, greatly reducing the analysis cost.
机译:本申请属于计算机技术领域,尤其涉及一种数据分析方法,计算机可读存储介质,终端设备及装置。所述方法包括:首先,通过搜索引擎对待分析企业的财务数据进行爬网;从财务数据中提取指定的财务指标,以形成第一指标向量;然后将第一索引向量输入预设的第一神经网络模型进行处理,得到第一输出向量;从预设模板数据库中选择第二索引向量,输入第二预设神经网络模型进行处理,得到第二输出向量;计算第一输出向量与第二输出向量之间的相似度;最终确定由对应于具有最大数值的相似度的模板索引向量表示的财务模式,作为待分析企业的财务模式。在本申请的实施例中,传统的人工分析被神经网络模型的智能分析所取代,大大降低了分析成本。

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