Sciweavers

32 search results - page 3 / 7
» Soft-computing techniques for time series forecasting
Sort
View
IJIT
2004
13 years 7 months ago
Application of Neural Networks in Financial Data Mining
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
Defu Zhang, Qingshan Jiang, Xin Li
TNN
2010
174views Management» more  TNN 2010»
13 years 14 days ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
ISCC
2007
IEEE
14 years 1 days ago
Long Horizon End-to-End Delay Forecasts: A Multi-Step-Ahead Hybrid Approach
A long horizon end-to-end delay forecast, if possible, will be a breakthrough in traffic engineering. This paper introduces a hybrid approach to forecast end-to-end delays using ...
Vinh Bui, Weiping Zhu, Antonio Pescapè, Ale...
ICANN
2001
Springer
13 years 10 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...