Related content

Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction

By Hussain Abir Jaafar   Ghazali Rozaida   Al-Jumeily Dhiya  

International Journal of Intelligent Systems Technologies and Applications, Vol. 5, Iss. 1-2, 2008-05 ,pp. : 145-165

Inderscience Publishers

Access to resources Recommend Favorite

Neural network models for multi-step ahead prediction of air-fuel ratio in SI engines

By Saraswati Samir   Chand Satish  

International Journal of Modelling, Identification and Control, Vol. 7, Iss. 3, 2009-07 ,pp. : 263-274

Inderscience Publishers

Access to resources Recommend Favorite

A hybrid approach for training recurrent neural networks: application to multi-step-ahead prediction of noisy and large data sets

By Chtourou S.   Chtourou M.   Hammami O.  

Neural Computing & Applications, Vol. 17, Iss. 3, 2008-06 ,pp. : 245-254

Springer Publishing Company

Access to resources Recommend Favorite

Application of multi-layer recurrent neural network in chaotic time series prediction: a real case study of crude oil distillation capacity

By Sadi-Nezhad Kaveh Khalili-Damghani   Soheil  

International Journal of Artificial Intelligence and Soft Computing, Vol. 2, Iss. 4, 2011-09 ,pp. : 367-380

Inderscience Publishers

Access to resources Recommend Favorite

Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN

By  

International Journal of Applied Evolutionary Computation (IJAEC), Vol. 7, Iss. 1, 2016-01 ,pp. : 16-32

IGI Global_journal

Access to resources Recommend Favorite