Yun Tianquan. Basic Equations, Theory and Principles of Computational Stock Market(Ⅱ) Basic Principles[J]. Applied Mathematics and Mechanics, 1999, 20(7): 675-681.
Citation: Yun Tianquan. Basic Equations, Theory and Principles of Computational Stock Market(Ⅱ) Basic Principles[J]. Applied Mathematics and Mechanics, 1999, 20(7): 675-681.

Basic Equations, Theory and Principles of Computational Stock Market(Ⅱ) Basic Principles

  • Received Date: 1998-03-01
  • Rev Recd Date: 1999-03-13
  • Publish Date: 1999-07-15
  • In this paper three basic principles for computational stock market are proposed namely, the Nearest-Time Principle(NTP),the Following Tendency Principle(FTP),and the Variational Principle on Difference of Supply and Demand(VPDSD).The issue,expression,mathematical description and applications of these principles are stated.These applications involve the use in neural networks,basic equations of computational stock market,and the prediction of equilibrium price of stocks etc.
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  • [1]
    武建勋.关于圣维南原理证明的新进展[A],现代数学和力学(MMM-V)[C].陈至达主编,北京:中国矿业大学出版社,1993,124~128.
    [2]
    蔡崇喜,林长好.Stokes方程初边值问题的Phragmen-Lindelf二择性原理[J].应用数学和力学,1996,17(8):689~698.
    [3]
    Herman G T. Image由投影重建图像,CT的理论基础[M].严洪范等译.北京:科学出版社,1985,7,36.
    [4]
    程相君,王春宁,陈生潭.神经网络原理及其应用[M].北京:国防工业出版社,1995,37.
    [5]
    云天铨.计算股市的基本方程、理论和原理(Ⅰ)——基本方程[J].应用数学和力学,1999,20(2):145~152.
    [6]
    云天铨.常规情形的股价短期预测[J].华南理工大学学报,1997,25(5):47~51.
    [7]
    Ma Jinwen. Simplex memory neural networks[J].Neural Networks,1997,10(1):25~29.
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