๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

โœ Scribed by Cagdas Hakan Aladag; Ufuk Yolcu; Erol Egrioglu


Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
170 KB
Volume
81
Category
Article
ISSN
0378-4754

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


High-order fuzzy time-series based on mu
โœ Tai-Liang Chen; Ching-Hsue Cheng; Hia-Jong Teoh ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 514 KB

Stock investors usually make their short-term investment decisions according to recent stock information such as the late market news, technical analysis reports, and price fluctuations. To reflect these short-term factors which impact stock price, this paper proposes a comprehensive fuzzy time-seri

A study of the emotional evaluation mode
โœ Jinsub Um; Kyoungbae Eum; Joonwhoan Lee ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 968 KB

## Abstract Proposed in this article are two kinds of emotional models based on the neural network and the adaptive fuzzy system that can transform the physical features of a color pattern into its emotional features. The purpose of this system of models is to evaluate the neural network and adapti