维普期刊资源整合服务平台（V6.5）

27篇 您的检索式：作者名="Egrioglu"

选中清除导出查看参考文献查看引证文献引用追踪共2页首页上一页第1页下一页末页 /2 跳转

	题名	作者	年代	出处	被引量
1	Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks 显示文摘	Alp Erilli N Yoleu U Egrioglu E etal	2011	Expert Systems with Applications2011，38，3：	1
2	A new time invariant fuzzy time series forecasting method based on particle swarm optimization显示文摘	Aladag C H Yolcu U Egrioglu E	2012	Original Research Article Applied Soft Computing2012，12，10：	1
3	A new liner&nonlinear artificial neural network model for time series forecasting显示文摘	Yolcu U Egrioglu E Aladag C H	2013	Decision Support System2013，54，3：	1
4	Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations 显示文摘	Aladag C H Basaran M A Egrioglu E	2009	Expert Systems with Applica- tions2009，36，3：	1
5	A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks 显示文摘	Aladag C H Yolcu U Egrioglu E	2010	Mathematics and Computers in Simulation2010，81，4：	1
6	A new approach for determining the length of intervals for fuzzy time series 显示文摘	Yolcu U Egrioglu E Uslu V R	2009	Applied Soft Computing2009，9，2：	1
7	A New Approach for Determining the Length of Intervals for Fuzzy Time Series显示文摘	Ufuk Yolcu Erol Egrioglu Vedide R Uslu	2009	Applied Soft Computing2009，9，2：	1
8	Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy cluste- ring显示文摘	Egrioglu E Aladag C H Yolcu U	2011	Expert Systems with Applications2011，38，10：	1
9	Forecasting in high order fuzzy time series by using neural networks to define fuzzy relations显示文摘	Aladag C H Basaran M A Egrioglu E		0，，03：	1
10	Forecasting Nonlinear Time Series with a Hybrid Methodology显示文摘	Aladag C H Egrioglu E Kadilar C	2009	Applied Mathematics Letters2009，，22：	1
11	A new time-invariant fuzzy time series forecasting method based on genetic algorithm 显示文摘	EGRIOGLU E	2012	Advances in Fuzzy Systems2012，2012，：	1
12	A high order seasonal fuzzy time series model and application to I nternational tourism demand of Turkey 显示文摘	Aladag C H Egrioglu E Yolcu U	2014	Journal of Intelligent and Fuzzy Systems2014，26，1：	1
13	Forecas- ting in high order fuzzy times series by using neural networks to define fuzzy relations 显示文摘	Aladag C H Basaran M A Egrioglu E	2009	Expert Systems with Applications2009，36，3：	1
14	Finding an optimal interval length in high order fuzzy time series 显示文摘	Egrioglu E Aladag C H Yolcu U	2010	Expert Systems with Applications2010，37，7：	1
15	A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks显示文摘	Aladag C H Yolcu U Egrioglu E	2010	Mathematics and Computers in Simulation2010，81，：	1
16	Finding an optimal interval length in high order fuzzy time series 显示文摘	Egrioglu E	2010	Expert Systems with Applications2010，37，：	1
17	A new approach based on the optimization of the length of intervals in fuzzy time series 显示文摘	Egrioglu E	2011	Journal of Intelligent &Fuzzy Systems2011，22，：	1
18	An ARMA type fuzzy time seriesforecasting method based on particle swarmoptimization显示文摘	Egrioglu Erol	2013	Mathematical Problems in Engineering2013，3，1：	1
19	A new model selection strategy in artificial neural networks显示文摘	Egrioglu E Aladag C H Gunay S		0，，2：	1
20	Fuzzy time series forecastingmethod based on Gustafson-Kessel fuzzy clustering显示文摘	Egrioglu E Aladag C H	2011	Expert Systems with Applications2011，38，10：	1

返回顶部每页显示：

共2页首页上一页第1页下一页末页 /2 跳转

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

用户提示