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Research on Fuzzy Portfolio Selection method based on Hierarchical Boltzmann Machine

Research on Fuzzy Portfolio Selection method based on Hierarchical Boltzmann Machine
基于层次玻尔兹曼机的模糊投资组合选择方法研究
批准号:
11680459
负责人:
WATADA Junzo
金额:
$2.24万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
1999
资助国家:
日本
项目状态:
已结题
起止时间:
1999 至 2002

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项目成果

WATADA Junzo的其他基金

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中文摘要
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英文摘要
The research on methods of investment of stocks starts from portfolio selection model proposed by H. Markowits. But it is difficult to realize sufficiently efficient selection of a certain number of stocks out of all stocks in the market. The objective of this research is to build the improved model using the neural network which we have been studied for years.The research results obtained in this granted research can be summarized as follows:1) We successed to organically drive a neural network by connecting between a Boltzmann machine and a Hopfield machine. This result was presented at international Journals and international conferences.2) In order to solve a portfolio selection problem under the consideration of the previous investing pattern, we developed the method to employ the hierarchical neural network in solving. The meta-controlled layer consisting of a Hopfield network is built in to select the appropriate number of stocks and the lower layer of a Boltzmann machine is emp … More loyed to effectively minimize the difference between the present investment pattern and the previous investment pattern. This model successfully obtained the solution. This result was presented at international conferences.3) It enables us to forecast the price of a stock at the next term using Fuzzy Chaotic Short-Term Forecasting Model which the head investigator have studied. The portfolio of stocks can be solved using the forecasted price under the consideration of dealing unit at the market. This result was presented at international conferences.4) It enables us to solve the portfolio selection problem considering a dealing unit by combining between the chaotic method and the meta-controlled Boltzmann machine. This result was presented at international conferences.5) The above-mentioned methods are applied to solve agricultural to management, production management and project management as well as to portfolio selection problems. This result was presented at international Journals and international conferences. Less
期刊论文(57)
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会议论文
T.Watanabe, J.Watada: "Portfolio Selection Problem with Minimum Fluctuations of Portfolio Pattern"The 4^<th> Asian Fuzzy Systems Symposium(AFSS2000). Vol.2. 1021-1026 (2000)
T.Watanabe,J.Watada:“投资组合选择问题与投资组合模式的最小波动”第四届亚洲模糊系统研讨会(AFSS2000)。
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通讯作者:
Teruyuki Watanabe, Junzo Watada: "Formulation of Fuzzy Rebalance Model"Proceeding, 2th ISIS2001. (2001)
Teruyuki Watanabe、Junzo Watada:“模糊再平衡模型的制定”论文集,第 2 届 ISIS2001。
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T.Kawaura, J.Watada: "Mean-Variance Analysis of Medical Investment and Medical Products"Journal of Biomedical Soft Computing and Human Science. Vol.5, No.2. 91-96 (2000)
T.Kawaura、J.Watada:“医疗投资和医疗产品的均值方差分析”生物医学软计算和人类科学杂志。
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36
    Building Optimum Reliable Systems through Value-at-Risk Criterion-based Two Stage Fuzzy Random Optimization Method
    • 批准号:
      23500289
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $3.24万
    • 财政年份:
      2011
    • 负责人:
      WATADA Junzo
    • 依托单位:
    Research on Methods of Fuzzy Portfolio Selection with Limited Number of Securities
    • 批准号:
      08680471
    • 项目类别:
      Grant-in-Aid for Scientific Research (C)
    • 资助金额:
      $1.41万
    • 财政年份:
      1996
    • 负责人:
      WATADA Junzo
    • 依托单位: