Lee A. Feldkamp

Affiliations:
  • Ford Motor Company, Dearborn, MI, USA


According to our database1, Lee A. Feldkamp authored at least 25 papers between 1987 and 2009.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2009
Recurrent neural network training for energy management of a mild Hybrid Electric Vehicle with an ultra-capacitor.
Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 2009

2008
An incremental neural learning framework and its application to vehicle diagnostics.
Appl. Intell., 2008

2007
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data.
Proceedings of the International Joint Conference on Neural Networks, 2007

2004
Neural Learning from Unbalanced Data.
Appl. Intell., 2004

Multiclass Pattern Classification Using Neural Networks.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks.
Neural Networks, 2003

1999
Roles of learning rates, artificial process noise and square root filtering for extended Kalman filter training.
Proceedings of the International Joint Conference Neural Networks, 1999

Application of SVM to Lyapunov function approximation.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification.
Proc. IEEE, 1998

Analyzing for Lyapunov stability with adaptive critics.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
Adaptive Behavior from Fixed Weight Networks.
Inf. Sci., 1997

Extensions and enhancements of decoupled extended Kalman filter training.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Primitive adaptive critics.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Unified formulation for training recurrent networks with derivative adaptive critics.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Fixed-weight controller for multiple systems.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Dynamic neural network methods applied to on-vehicle idle speed control.
Proc. IEEE, 1996

Neural Networks: Current Applications, Book Review.
Proc. IEEE, 1996

Adaptation from fixed weight dynamic networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Signal Processing by Neural Networks to Create "Virtual" Sensors and Model-Based Diagnostics.
Proceedings of the Artificial Neural Networks, 1996

1994
Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks.
IEEE Trans. Neural Networks, 1994

1993
Practical considerations for Kalman filter training of recurrent neural networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1990
Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection.
Proceedings of the IJCNN 1990, 1990

1988
Camera calibration methodology based on a linear perspective transformation error model.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

Vision guided robots for automated assembly.
Proceedings of the 1988 IEEE International Conference on Robotics and Automation, 1988

1987
Global calibration of a robot/vision system.
Proceedings of the 1987 IEEE International Conference on Robotics and Automation, Raleigh, North Carolina, USA, March 31, 1987


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