prediction of stock market

基本解釋

It is shown that the rough network is accurate and available for prediction of stock market.
計(jì)算結(jié)果表明，粗神經(jīng)網(wǎng)絡(luò)用于股市預(yù)測(cè)是可行的，結(jié)果也較準(zhǔn)確。
Academic analysis and experimental results show the method is feasible and effective on shortdated prediction of stock market;
理論分析及實(shí)驗(yàn)結(jié)果表明，該方法對(duì)股票市場(chǎng)的短期預(yù)測(cè)是可行和有效的；
The prediction of stock market based on the artificial neural network has almost the same precision as that based on time series models.
通過人工神經(jīng)網(wǎng)絡(luò)得到的預(yù)測(cè)結(jié)果基本上與較傳統(tǒng)的時(shí)間序列理論得到的預(yù)測(cè)結(jié)果精度相似。

股市預(yù)測(cè)
An improved nearest neighbor clustering algorithm for RBF(Radial basis function) neural network is presented and applied to the prediction of stock market.
提出了一種改進(jìn)的 RBF (Radial Basis Functions,徑向基函數(shù) )神經(jīng)網(wǎng)絡(luò)最近鄰聚類學(xué)習(xí)算法 ,并將其應(yīng)用于股市預(yù)測(cè)問題。