计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 440-446.

• 智能系统及应用 • 上一篇    下一篇

可拓神经网络模型及其股指期货分析研究

李秀枝,孟志青   

  1. 浙江工业大学经贸管理学院 杭州310023;浙江工业大学经贸管理学院 杭州310023
  • 出版日期:2018-11-14 发布日期:2018-11-14

Study of Extenics Neural Networks Model and Stock Index Futures Analysis

LI Xiu-zhi and MENG Zhi-qing   

  • Online:2018-11-14 Published:2018-11-14

摘要: 近年来可拓神经网络(ENNs)在人工智能领域发展迅速,取得了颇为丰富的研究成果。双权可拓神经网络就是这些成果之一。这是一个非常新的课题,有关它在实际应用方面的研究还只是很狭隘地限定在各类诊断之中,因此要丰富这一新兴课题就需要拓展双权可拓神经网络在其他领域的应用研究。率先拓展了双权可拓神经网络模型在股指期货预测分析领域的应用研究,详细描述了两种双权可拓神经网络结构设计、算法过程,并且通过实验验证了该模型在股指期货预测分析领域的可行性和有效性。

关键词: 可拓神经网络模型,股指,期货,预测分析

Abstract: In recent years the extenics neural networks (ENNs) has developed rapidly in the field of artificial intelligence and its research results are quite rich.ENN-type 2 is one of these results.And it is a so new topic that the research of practical applications based on it is only very narrowly defined in all kinds of diagnosis.As result of it,we need to expand the application of ENN-type 2 research in other fields to enrich this emerging topic.This paper took the lead in expanding ENN-type 2 model in the field of prediction and analysis of stock index futures for applied research.This paper also described the structure and algorithm of two kinds of ENN-type 2 in detail,and then the model’s feasibility and effectiveness in prediction and analysis of stock index futures were verified through the experiments.

Key words: Extenics neural networks model,StockIndex futures,Prediction and analysis

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