Description: BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立,人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法,以便提高股价预测时的运算速度和精确度,为股票市场的个人投资者和机构投资者提供新的实用方法。-BP neural network modeling of stock, with the stock market chaos and fractal theory established step by step, people began to make use of neural networks to forecast changes in the securities market. This study aimed at the stock market to provide a neural network based on BP s share price forecasting methods, in order to improve the stock price forecasts computational speed and accuracy for the stock market by individual investors and institutional investors to provide a new practical method. Platform: |
Size: 13312 |
Author:wangjin |
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Description: A fusion model of HMM, ANN and GA for stock market forecasting.pdf 股票预测,使用方法:HMM,ANN(神经网络),GA(遗传算法)等!-A fusion model of HMM, ANN and GA for stock market forecasting.pdf stock prediction, the use of methods: HMM, ANN (Artificial Neural Network), GA (genetic algorithm), etc.! Platform: |
Size: 300032 |
Author:黄波 |
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Description: 这是有关于人工神经网络的应用主要是应用到股票价格的分析与预测-This is on the application of artificial neural network is applied to the stock price analysis and prediction Platform: |
Size: 781312 |
Author:tangchao |
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Description: 利用灰色系统进行预测的几篇好论文:
BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model Platform: |
Size: 883712 |
Author:yujian |
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Description: 使用C++的基于神经网络(BP)算法的股票预测程序-The use of C++ s Based on neural network (BP) algorithm stock forecasting process Platform: |
Size: 94208 |
Author:ycs |
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Description: 利用kalman滤波进行股票预测,并与灰色预测,及神经网络算法的预测结果进行比较。-Use kalman filter for stock forecasting, and with gray prediction, and neural network algorithm to predict the results were compared. Platform: |
Size: 13312 |
Author:尹珂 |
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Description: 1.基于概率神经网络的手写体数字识别
2.径向基网络预测地下水位
3.BP神经网络实现图像压缩
4.Elman网络预测上证股市开盘价
5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened on 5. certificate based on self-organizing feature map of Asian football clustering based on probabilistic neural network handwritten digital Platform: |
Size: 346112 |
Author:石竹 |
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Description: 基于神经网络的股票价格预测的MATLAB实现,经网络的在实际预测模型中的问题(MATLAB implementation of stock price prediction based on neural network and problems in the actual forecasting model via network) Platform: |
Size: 215040 |
Author:鸡蛋蛋 |
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Description: 基于粒子群——神经网络算法的股票预测系统,将某支股票的大量数据导入程序中,就能对该股票接下来的走向进行分析和预测(The stock forecasting system based on the particle swarm neural network algorithm can analyze and predict the next trend of the stock by importing a large number of data into the program.) Platform: |
Size: 1442816 |
Author:izayoiakatsuki |
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Description: BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立,人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法,以便提高股价预测时的运算速度和精确度,为股票市场的个人投资者和机构投资者提供新的实用方法。(BP Neural network stock modeling, with the stock market chaos and fractal theory gradually established, people began to use the neural network to predict the stock market changes. The aim of this paper is to provide a method of stock price forecasting based on BP Neural network in order to improve the calculation speed and accuracy of stock price forecasting, and to provide new practical methods for individual investors and institutional investors in stock market.) Platform: |
Size: 153600 |
Author:haohaohao110 |
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