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METHOD, COMPUTER PROGRAM AND RECORDING MEDIUM FOR PREDICTING PRICE OF ASSET USE OF CONVOLUTION NEURAL NETWORK

机译:用于预测资产使用卷积神经网络的价格的方法,计算机程序和记录介质

摘要

In the asset price prediction method using CNN according to the present invention, in the asset price prediction method through the asset price prediction device, the reference date (T) and the predicted operating period between the input data for the asset to be predicted and the past price data of the asset The step of inputting the fitted data to the tree module with a difference equal to the time series length of (K), and the comparison value between the predicted price data predicted through the tree module and the actual price data corresponding to the forecast operating period (K); Inputting the image map generated based on the variables of the image map to the CNN module, learning about the predicted price data through the CNN module, and before a specific time point to be predicted through the CNN module Predicting a corresponding image map, and predicting the final predicted price data for the specific time point to be predicted based on the predicted image map.
机译:在使用根据本发明的CNN的资产价格预测方法中,在资产价格预测方法中,通过资产价格预测设备,参考日期(T)和预测资产的输入数据之间的预测运行期限和预测过去的价格数据的价格数据将拟合数据输入到树模块的步骤,其中差异等于(k)的时间序列长度,并且通过树模块预测的预测价格数据与实际价格数据之间的比较值对应于预测运营期(k);输入基于图像映射的变量生成的图像映射到CNN模块,通过CNN模块学习预测的价格数据,并且在通过预测相应图像映射的CNN模块预测特定时间点之前,以及预测基于预测的图像映射预测特定时间点的最终预测价格数据。

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