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ENGL
2006
84views more  ENGL 2006»
13 years 9 months ago
A framework for neural network to make business forecasting with hybrid VAR and GA components
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
Sio Iong Ao
IJCSA
2006
289views more  IJCSA 2006»
13 years 9 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
TSMC
2008
102views more  TSMC 2008»
13 years 9 months ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi
WSC
2008
14 years 4 days ago
Decision making and forecasting with respect to risk: A simulation study for a setup-problem
In this paper, the impact of timing a setup operation on the work-in-process and cycle time is investigated. Using a small example of an reentrant production system, it is shown t...
Martin Romauch, Walter Laure, Georg Seidel, Christ...
CAEPIA
2003
Springer
14 years 3 months ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...