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LWA
2008
13 years 9 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
KES
2006
Springer
13 years 7 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
CIMCA
2005
IEEE
13 years 9 months ago
Accurate Electricity Load Forecasting with Artificial Neural Networks
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
Daniel Ortiz Arroyo, Morten K. Skov, Quang Huynh
NN
2006
Springer
13 years 7 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
FLAIRS
2001
13 years 9 months ago
Neural Networks in Forecasting Electrical Energy Consumption
Thispaperpresentsan artificial neuralnetwork(ANN)approach to electric energyconsumption(EEC)forecasting. In order providethe forecastedenergyconsumption,the ANNinterpolates betwee...
George E. Nasr, E. A. Badr, M. R. Younes