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1)  ability of forecasting individual security
个股预测
2)  stock price prediction
股市预测
1.
In order to overcome these disadvantages,a hybrid of genetic and back-propagation algorithms based on the predictability of stock market for stock price prediction is presented,and a neural network dealing model is developed.
通过对海信电信(600060)的股票收盘价和大盘指数为预测目标进行了股市预测的仿真,并尝试预测未来一天内超短线存在机会,实验结果验证了股价预测模型的可行性。
3)  stock forecasting
股票预测
1.
A new method of stock forecasting based on Fuzzy Support Vector Machine(SVM) and cycle analysis is advanced.
基于模糊SVM与周期分析的股票预测方法通过选取曲率变化大、形式简单的幂函数作为候选隶属度函数,并采用格子搜索法寻找最优参数,确定出最优模糊隶属度,同时又结合寻找股票波动的工具:市场周期分析法。
2.
Because stock forecasting is a uncertain,nonlinear and nonstationary time series problem,it is difficult to achieve a satisfying prediction effect by traditional methods.
由于股票预测是不确定、非线性、非平稳的时间序列问题,传统的方法往往难以取得满意的预测效果。
4)  stock market prediction
股市预测
1.
This is done by making full use of the advantages of wavelet transform time-frequency localization, the paper proposed an improved wavelet network structure, and considered the model for stock market prediction.
混沌时间序列预测首先要重构相空间 ,接着充分利用小波变换时频分析的局部化特性 ,提出了一种改进的小波网络结构 ,探讨了股市预测模型问题 。
2.
This is done by making full use of the advantages of wavelet transform time frequency localization, the paper proposed an improved wavelet network structure, and the model for stock market prediction was considered.
混沌时间序列预测首先要重构相空间 ,接着充分利用小波变换时频分析的局部化特性 ,提出了一种改进的小波网络结构 ,探讨了股市预测模型问题。
5)  stock price forecast
股价预测
1.
The Application of RBF Neural Networks to Stock Price Forecasting;
RBF神经网络在股价预测中的应用
2.
The combined training algorithm is applied to the nonlinear function approximation and stock price forecast with complex nonlinear dynamic characteristic,and t.
将此组合训练算法应用到非线性函数逼近和具有复杂非线性动力学特征的股价预测中,仿真实验表明,该算法避免了网络陷入局部极小点,提高了网络的泛化能力,同时为BP网络参数的确定提供了一条崭新的思路。
6)  stock prediction
股票预测
1.
A Neural Network Learning Algorithm Based on the Extended Kalman Filter Applied to Stock Prediction;
基于扩展Kalman滤波的神经网络学习算法在股票预测中的应用
2.
Application and Study on Gene Expression Programming in Stock Prediction;
基因表达式编程在股票预测中的应用与研究
补充资料:发育进度预测法(见发生期预测)


发育进度预测法(见发生期预测)


  发育进度预测法见发生期预测。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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