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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
IJCNN
2007
IEEE
14 years 2 months ago
Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding
— In the last decade, neural networks have been applied in Daily Load Forecasting. Nevertheless, two main problems are still present for using neural networks in this domain: fi...
Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacquelin...
SECON
2010
IEEE
13 years 5 months ago
Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems
To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a s...
Navin Sharma, Jeremy Gummeson, David Irwin, Prasha...
IASSE
2004
13 years 9 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh
IJCNN
2000
IEEE
14 years 10 days ago
Neuro-Wavelet Parametric Modeling
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...