Lee A. Feldkamp

发表

Trainable fuzzy and neural-fuzzy systems for idle-speed control

G. V. Puskorius, Lee A. Feldkamp, 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

Roles of learning rates, artificial process noise and square root filtering for extended Kalman filter training

Lee A. Feldkamp, Gintaras V. Puskorius, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A process for the generation of correction tables for detecting misfire by using neural networks

Lee A. Feldkamp, John V. James, Kenneth Andrew Marko, 1998 .

Adaptive classification

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

Phased backpropagation: a hybrid of BPTT and temporal BP

Danil V. Prokhorov, Lee A. Feldkamp, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A study of the variation of trabecular architectures in small volumes of bone using a microcomputed tomography system

Steven A. Goldstein, Lee A. Feldkamp, J. L. Kuhn, 1988 .

Signal Processing by Neural Networks to Create "Virtual" Sensors and Model-Based Diagnostics

Lee A. Feldkamp, Gintaras V. Puskorius, John V. James, 1996, ICANN.

ON-LINE OPTIMIZATION OF RBF NETWORK FEEDFORWARD COMPENSATIO LOAD DISTURBANCE IN IDLE SPE

Dimitry Gorinevsky, Lee A. Feldkamp, 1996 .

Fixed-weight controller for multiple systems

Lee A. Feldkamp, Gintaras Vincent Puskorius, G. Puskorius, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks

Lee A. Feldkamp, Gintaras V. Puskorius, G. Puskorius, 1994, IEEE Trans. Neural Networks.

Ultra-Compact Neuroprocessor for Automotive Diagnostic and Control

Nazeeh Aranki, Lee A. Feldkamp, R. Tawel, 1998 .

Unified formulation for training recurrent networks with derivative adaptive critics

G. V. Puskorius, Lee A. Feldkamp, D. V. Prokhorov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Global calibration of a robot/vision system

Lee A. Feldkamp, Gintaras V. Puskorius, G. Puskorius, 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

Analyzing for Lyapunov stability with adaptive critics

Danil V. Prokhorov, Lee A. Feldkamp, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data

Yi Lu Murphey, Lee A. Feldkamp, Haoxing Wang, 2007, 2007 International Joint Conference on Neural Networks.

Strategies and issues in applications of neural networks

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Practical considerations for Kalman filter training of recurrent neural networks

Lee A. Feldkamp, Gintaras Vincent Puskorius, 1993, IEEE International Conference on Neural Networks.

Adaptation from fixed weight dynamic networks

Lee A. Feldkamp, Gintaras Vincent Puskorius, P. C. Moore, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Parameter‐Based Kalman Filter Training: Theory and Implementation

Lee A. Feldkamp, Gintaras Vincent Puskorius, G. Puskorius, 2002 .

Incremental neural learning using AdaBoost

Yi Lu Murphey, Zhihang Chen, Lee A. Feldkamp, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Neural network modeling and control of an anti-lock brake system

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1992, Proceedings of the Intelligent Vehicles `92 Symposium.

Recurrent neural network training for energy management of a mild Hybrid Electric Vehicle with an ultra-capacitor

Ilya V. Kolmanovsky, Lee A. Feldkamp, Mahmoud Abou-Nasr, 2009, 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems.

A Dynamic Neural Network Approach to CBM

Lee A. Feldkamp, John V. James, Robert Wiebe, 2011 .

Recurrent network training with the decoupled-extended-Kalman-filter algorithm

Lee A. Feldkamp, Gintaras Vincent Puskorius, G. Puskorius, 1992, Defense, Security, and Sensing.

Decoupled extended Kalman filter training of feedforward layered networks

Lee A. Feldkamp, Gintaras Vincent Puskorius, G. Puskorius, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Controlling cyclic combustion variations in lean-fueled spark-ignition engines

Francis Thomas Connolly, Lee A. Feldkamp, John Hoard, 2001 .

Neural network classifier to threshold images from 3D microcomputed tomography

Lee A. Feldkamp, Gintaras Vincent Puskorius, Gerald Jesion, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Neural Learning from Unbalanced Data

Hong Guo, Yi Lu Murphey, Lee A. Feldkamp, 2004, Applied Intelligence.

Dynamic neural network methods applied to on-vehicle idle speed control

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1996, Proc. IEEE.

On-line optimization of RBF network feedforward compensation for load disturbance in idle speed control of automotive engine

Lee A. Feldkamp, Dimitry Gorinevsky, 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

SVM learning from large training data set

Yi Lu Murphey, Zhihang Chen, Lee A. Feldkamp, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Vision guided robots for automated assembly

F. Yuan, Lee A. Feldkamp, Gintaras V. Puskorius, 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

The application of dynamic neural networks to the estimation of feedgas vehicle emissions

Lee A. Feldkamp, Gintaras Vincent Puskorius, Gerald Jesion, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Primitive adaptive critics

Danil V. Prokhorov, Lee A. Feldkamp, D. Prokhorov, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A new approach to cluster-weighted modeling

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Custom VLSI ASIC for automotive applications with recurrent networks

Nazeeh Aranki, Lee A. Feldkamp, John V. James, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Roles of recurrence in neural control architectures

Lee A. Feldkamp, Gintaras V. Puskorius, 1993, Defense, Security, and Sensing.

Model reference adaptive control with recurrent networks trained by the dynamic DEKF algorithm

Lee A. Feldkamp, Gintaras Vincent Puskorius, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Defuzzification for fuzzy logic output signals and regulator device for this purpose

Lee A. Feldkamp, Dinu Petre Madau, 1994 .

Neural control systems trained by dynamic gradient methods for automotive applications

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

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

G. V. Puskorius, Lee A. Feldkamp, G. Puskorius, 1998, Proc. IEEE.

Conditioned adaptive behavior from Kalman filter trained recurrent networks

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Training a hybrid neural-fuzzy system

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks

Danil V. Prokhorov, Lee A. Feldkamp, Timothy M. Feldkamp, 2003, Neural Networks.

An incremental neural learning framework and its application to vehicle diagnostics

Yi Lu Murphey, Lee A. Feldkamp, ZhiHang Chen, 2008, Applied Intelligence.

Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection

Lee A. Feldkamp, Gintaras V. Puskorius, Kenneth A. Marko, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Extensions and enhancements of decoupled extended Kalman filter training

Lee A. Feldkamp, Gintaras Vincent Puskorius, G. Puskorius, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Roles of recurrence in neural control architectures

Lee A. Feldkamp, Gintaras Vincent Puskorius, 1993, Defense, Security, and Sensing.

Neural network training with the nprKF

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Recurrent neural network training by nprKF joint estimation

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Learning to train neural networks for real-world control problems

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1994 .

Neural network control of a four-wheel ABS model

Lee A. Feldkamp, Gintaras Vincent Puskorius, Leighton Ira Davis, 1994, Proceedings of 1994 37th Midwest Symposium on Circuits and Systems.

Application of SVM to Lyapunov function approximation

Danil V. Prokhorov, Lee A. Feldkamp, D. Prokhorov, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Fuzzy logic anti-lock brake system for a limited range coefficient of friction surface

Lee A. Feldkamp, Leighton Ira Davis, F. Yuan, 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

Multiclass pattern classification using neural networks

Yi Lu Murphey, Lee A. Feldkamp, Guobin Ou, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Enhanced Multi-Stream Kalman Filter Training for Recurrent Networks

Danil V. Prokhorov, Lee A. Feldkamp, F. Yuan, 1998 .

Adaptive Behavior from Fixed Weight Networks

Lee A. Feldkamp, Gintaras V. Puskorius, P. C. Moore, 1997, Inf. Sci..

Microscopic Imaging of Porous Media With X-Ray Computer Tomography

Lee A. Feldkamp, Gerald Jesion, L. Feldkamp, 1993 .

Controlling Cyclic Combustion Variations in Lean‐Fueled Spark‐Ignition Engines

Francis Thomas Connolly, Lee A. Feldkamp, John Hoard, 2002 .

Cluster-weighted modeling with multiclusters

Danil V. Prokhorov, Lee A. Feldkamp, Timothy Mark Feldkamp, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).