免费文档

基于神经网络的股票价格走势预测及其MATLAB实现——论文

基于神经网络的股票价格走势预测及其MATLAB实现

摘要

伴随着我国经济的高速发展和广大投资者日益旺盛的需求,股票投资已经成为一种常见的投资手段,而股票价格预测也逐渐成为广大投资者关心和研究的重点问题。股票价格的波动是一个高度复杂化的非线性动态系统,其本身具有诸如大规模数据、噪声、模糊非线性等特点。针对这些特点本文在深入分析股票市场实际预测中所面临的关键问题和比较各种已有的股票预测方法的基础上,探讨运用神经网络这一人工智能工具,研究基于历史数据分析的股票预测模型。

神经网络是建立在对大规模的股票历史数据的学习仿真的基础上,运用黑盒预测方式找出股市波动的内在规律,并通过将其存储在网络的权值、阈值中,以此来预测未来短期或是中长期的价格走势。

关键字:神经网络,股票,预测,MATLAB工具箱

ABSTRACT

Along with the economy growth and increasingly strong demand of many investors in our country, stock has become a common means of investment, and stock price forecast has greatly been one of the focuses of study topic. The change of stock price is a highly complicated nonlinear dynamic system, itself has many characteristics such as massive data, noise, fuzzy and nonlinear. This article analyses the key issues being existent in the real stock market prediction and compares various existing stock forecasting methods. We will try to research on stock price prediction model based on a neural network with huge historical data.

Neural network is based on studying massive historical data, uses the black box of forecasting ways to find the internal disciplinarian of stock market, and stores them in the weights and valves values of the neural network for predicting the short-term or long-term trend in the future.

KEYWORD:Neural networks, Stock, prediction, MATLAB toolbox

相关文档
热门文档
你可能喜欢
  • 网络营销前景
  • 预测股票
  • 网络营销应用研究
  • 网络营销的现状
  • 网络营销的发展前景
评论