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» Methodology for long-term prediction of time series
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SBRN
2000
IEEE
13 years 11 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
ICSM
2007
IEEE
14 years 1 months ago
On the prediction of the evolution of libre software projects
Libre (free / open source) software development is a complex phenomenon. Many actors (core developers, casual contributors, bug reporters, patch submitters, users, etc.), in many ...
Israel Herraiz, Jesús M. González-Ba...
IPPS
2002
IEEE
14 years 8 days ago
FARM: A Feedback-Based Adaptive Resource Management for Autonomous Hot-Spot Convergence System
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
S. Swaminathan, G. Manimaran
ICAISC
2004
Springer
14 years 22 days ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M....
IJCNN
2007
IEEE
14 years 1 months ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...