股票预测,stock prediction
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
英文短句/例句
1.The Research of Stock Forecasting Method on Combination Forecasting Model;基于组合预测模型的股票预测方法的研究
2.Short-Term Stock Prediction:A LAMSTAR Approach;基于神经网络LAMSTAR的短线股票预测研究
3.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
4.Design of Multi Agent Based Stock Forecasting Support System;多agent股票预测支持系统的设计
5.Applying of GM (1, N) Model in Stock Forecasting灰色GM(1,N)方法在股票预测中的应用
6.Statistical Analysis on the Rate of Stock Return and Price Forecast;股票收益率的统计分析及其股价预测
7.Nonlinear deterministic prediction in stock market of China中国股票市场的非线性确定性预测
8.Prediction of the Share Price Based on Wavelet Analysis and Artificial Neural Network;基于WA-ANN的股票非线性价格预测研究
9.Stock Price Forecast Based on Bacterial Colony RBF Neural Network;基于菌群RBF神经网络的股票价格预测
10.Bayesian method for forecasting stock with Linex loss;Linex损失下股票投资的贝叶斯预测
11.Stock Forecasting Based on Principal Component Analysis;基于主成分分析的股票指数预测研究
12.The Selection of ARCH Group Models of Volatility Forecasting in Stock Market;股票市场波动预测的ARCH族模型选择
13.Stock market forecasting research based on Elman neural network;基于Elman神经网络的股票价格预测研究
14.Forecasting of stock s future profit in stock market;利用回归分析对股票未来收益的预测
15.The application of GM(1,1) model in forecasting stock-prices;GM(1,1)在股票价格预测中的运用
16.Applying GARCH Model to Forecast Chinese Stock Volatility;GARCH模型在中国股票波动预测中的应用
17.Revenue Forecast on StockMarket Based on its Turn Over Rate;基于市场周转率的股票市场收益预测
18.Prediction of stock price base on radial basic function neural networks;基于RBF神经网络的股票价格预测
相关短句/例句
stock forecasting股票预测
1.A new method ofstock 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.Becausestock 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。
4)stock price prediction股票价格预测
5)short-term stock prediction股票短期预测
1.A new approach ofshort-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 instock 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。
延伸阅读
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。
