摘要
人工神经网络以其独特的信息处理特点应用于预测领域具有很大的理论和实际应用价值。本文以股市行情为对象,详细论述了神经网络在股市行情预测领域中的应用,给出了相应的神经网络模型和两种历史数据的预处理方法,通过实验和测试,证明了这种方法的可行性和正确性,文章最后还对神经网络预测方法和基于数据统计基础之上的定理预测方法进行了比较。
Neural networks have much merit of theory and practice in the pre-diction field because of its information processing properties. This paper discusses the application of neural petworks in stock price prediction in detail.The corresponding neu-ral network model and two methods of historical data preprocessing are presented. Ex-Deriments dnd tests prove the feasibility and correctness. The characteristics of neural network prediction and statistics prediction are compared in the end of this paper.
出处
《计算机工程与科学》
CSCD
1995年第4期87-91,共5页
Computer Engineering & Science