 | 2009 |
| 12 |  | Paul J. Werbos:
Intelligence in the brain: A theory of how it works and how to build it.
Neural Networks 22(3): 200-212 (2009) |
| 2008 |
| 11 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.
IEEE Transactions on Neural Networks 19(6): 929-937 (2008) |
| 10 |  | Paul J. Werbos:
Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 898-900 (2008) |
| 2007 |
| 9 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator
CoRR abs/0710.4182: (2007) |
| 2006 |
| 8 |  | Roman Ilin,
Robert Kozma,
Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.
IJCNN 2006: 506-510 |
| 2002 |
| 7 |  | Paul J. Werbos:
Classical ODE and PDE which Obey Quantum Dynamics.
I. J. Bifurcation and Chaos 12(10): 2031-2049 (2002) |
| 2000 |
| 6 |  | Paul J. Werbos:
New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain.
IJCNN (3) 2000: 61-66 |
| 5 |  | Paul J. Werbos:
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations.
IJCNN (4) 2000: 31-36 |
| 1998 |
| 4 |  | Paul J. Werbos:
Brain-like intelligent control: from neural nets to larger-scale systems.
ESANN 1998: 59-66 |
| 1992 |
| 3 |  | Paul J. Werbos:
Neurocontrol and fuzzy logic: Connections and designs.
Int. J. Approx. Reasoning 6(2): 185-219 (1992) |
| 1990 |
| 2 |  | Paul J. Werbos:
Consistency of HDP applied to a simple reinforcement learning problem.
Neural Networks 3(2): 179-189 (1990) |
| 1988 |
| 1 |  | Paul J. Werbos:
Generalization of backpropagation with application to a recurrent gas market model.
Neural Networks 1(4): 339-356 (1988) |