1) 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
2) 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。
3) Stock forecast
股票预测
1.
The Research in Stock Forecast Based on BP Neural Network;
BP神经网络在股票预测中的应用研究
2.
This dissertation analyses the main problems being existent in the process of stock market prediction and compares various stock forecasting methods.
本文在深入分析股票市场预测面临的关键问题和比较各种股票预测方法的基础上,提出了使用BP网络和SOM网络相结合的方法来预测股票价格,并针对标准BP算法在股市预测中存在的学习速度慢、容易陷入局部极小值、预测结果精度不高等问题,提出一种改进的BP神经网络算法。
5) short-term stock prediction
股票短期预测
1.
A new approach of short-term stock prediction using PSRT(Phase Space Reconstruction Theory) combined with RNN(Recurrent Neural Network) was presented according to the complex nonlinear character of stock time series.
根据股票指数时间序列复杂的非线性特性,提出以相空间重构理论与递归神经网络相结合的股票短期预测新方法。
6) stock analysis and forecast
股票分析与预测
1.
This paper attempts to use data mining technology in stock analysis and forecast.
本文首先介绍了股票分析与预测的背景知识和方法,其次对数据挖掘理论做了深入细致的研究,然后着重从以下三个方面展开讨论。
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。
参考词条