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ENGL
2006
84views more  ENGL 2006»
13 years 8 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
ICONIP
1998
13 years 10 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 8 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang
CASDMKM
2004
Springer
157views Data Mining» more  CASDMKM 2004»
14 years 2 months ago
A Novel Hybrid AI System Framework for Crude Oil Price Forecasting
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
Shouyang Wang, Lean Yu, Kin Keung Lai
CDC
2010
IEEE
272views Control Systems» more  CDC 2010»
13 years 3 months ago
Node capture attacks in wireless sensor networks: A system theoretic approach
In this paper we address the problem of physical node capture attacks in wireless sensor networks and provide a control theoretic framework to model physical node capture, cloned n...
Tamara Bonaci, Linda Bushnell, Radha Poovendran