改进的高阶神经网络在汇率市场预测中的应用
개진적고계신경망락재회솔시장예측중적응용
Application of higher order artificial neural network in exchange rate market prediction
  • 万方数据
    微型机与应用 미형궤여응용
    MICROCOMPUTER & ITS APPLICATIONS
    2009年 20期 71-73 ,共3页

    谷月霞

    곡월하

    RBF网络%HONNs网络%PSO算法 RBF網絡%HONNs網絡%PSO算法
    RBF망락%HONNs망락%PSO산법
    RBF network%HONNs neural network%PSO algorithm
    评价了神经网络和高阶神经网络的性能,并提出了一种新型的具有运算效率高和算法精确等特点的随机高阶神经网络.模拟结果展示了这种模型的可行性和有效性.
    평개료신경망락화고계신경망락적성능,병제출료일충신형적구유운산효솔고화산법정학등특점적수궤고계신경망락.모의결과전시료저충모형적가행성화유효성.
    The performance of classical ANNs and HONNs are evaluated in this paper, and a novel random method for HONNs in order to improve the efficiency and the accuracy is proposed. Simulation results show the feasibility and effectiveness of the proposed method.
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