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基于BP神经网络的股市预测模型
引用本文:高琴,谈玲. 基于BP神经网络的股市预测模型[J]. 数字社区&智能家居, 2007, 1(2): 524-526
作者姓名:高琴  谈玲
作者单位:山东工商学院中加学院,山东,烟台,264005 南京信息工程大学信息与通信系,江苏,南京,210000
摘    要:介绍了神经网络的基本概念,建立BP神经网络模型,以某个股实际收盘价为原始数据样本,对网络进行训练后,对股票价格进行了短期预测,并计算出预测值和实际值的误差.通过实验发现该模型收敛速度快,预测精度高.

关 键 词:BP神经网络  预测  误差
文章编号:1009-3044(2007)02-10524-03
修稿时间:2006-09-26

The Stock Market Forecast Model Based on BP Nerve Network
GAO Qin,TAN Ling. The Stock Market Forecast Model Based on BP Nerve Network[J]. Digital Community & Smart Home, 2007, 1(2): 524-526
Authors:GAO Qin  TAN Ling
Affiliation:GAO Qin1,TAN Ling2
Abstract:This article introduced the nerve network basic concept, establishes the BP nerve network model, takes some stock actual closing price as the primary data sample, carries on the training after the network, has carried on the short-term forecast to the stock price, and calculates the forecast value and the actual value error. Through the experiment discovered this model convergence rate quick, the forecast precision is high.
Keywords:BP nerve network  Forecast  Error
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