| 基于GA—BP神经网络的股票预测研究 |
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| 引用本文： | 陈 星,武丽芳,王福明. 基于GA—BP神经网络的股票预测研究[J]. 山西电子技术, 2014, 0(1): 93-94,96 |
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| 作者姓名： | 陈 星 武丽芳 王福明 |
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| 作者单位： | 中北大学信息与通信工程学院,山西太原030051 |
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| 摘 要： | 股票市场是国民经济发展变化的“晴雨表”，股票价格的涨跌也是政治、经济、社会等诸多因素的综合反映。近几年来，神经网络取得较大发展已经成为热点研究并在各个领域中得到应用。针对此，基于遗传算法和BP神经网络，以中国石化100天股票技术指标历史数据作为训练样本对收盘价进行预测，10天数据进行检验，并通过图像拟合来验证神经网络股票预测的可行性和准确性。
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| 关 键 词： | GA—BP 股票技术指标 神经网络 收盘价 预测 |
The Research of Stock Prediction Based on GA - BP Neural Network |
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| Chen Xing,Wu Lifang,Wang Fuming. The Research of Stock Prediction Based on GA - BP Neural Network[J]. Shanxi Electronic Technology, 2014, 0(1): 93-94,96 |
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| Authors: | Chen Xing Wu Lifang Wang Fuming |
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| Affiliation: | (School of Information and Communication Engineering, North University of China, Taiyuan Shanxi 030051, China) |
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| Abstract: | The stock market is a ＂barometer＂ for the changes and development of national economic, the change of stock price is also a reflection of comprehensive factors such as politics, economics and society. In recent years, neural network which has achieved greater development becomes a hot research spot applied in various fields. In this paper, the 100 days＇historical data of Sinopec stock technical indicators as the training samples are used to predict the closing price and the 10 days＇data for testing which are based on ge- netic algorithm and BP neural network. Finally, the feasibility and accuracy of neural network to predict the stock is verified by fitting the images. |
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| Keywords: | GA - BP stock technical indicators neural network closing price prediction |
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