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ECIS
2000
15 years 3 months ago
Prediction of Insolvency of Life Insurers Through Neural Networks
Past research studies have documented the failure of the Insurance Regulatory Information System (IRIS) to provide adequate warning of insurer financial distress or insolvency. As ...
Ernest P. Goss, George S. Vozikis
120
Voted
TSD
2010
Springer
15 years 7 days ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
111
Voted
TNN
2010
115views Management» more  TNN 2010»
14 years 9 months ago
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
N. Boely, R. M. Botez
AMC
2011
14 years 6 months ago
General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays
For a family of differential equations with infinite delay, we give sufficient conditions for the global asymptotic, and global exponential stability of an equilibrium point. Th...
Teresa Faria, José J. Oliveira
IJCNN
2006
IEEE
15 years 8 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...