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ORCIDPaul J. Werbos
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2020 – today
- 2023
[j20]Fei-Yue Wang
, Ying Tang, Paul J. Werbos:
Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2018-2024 (2023)
2010 – 2019
- 2018
- [c14]Paul J. Werbos:
AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors. IJCNN 2018: 1-8 - 2016
- [j19]Paul J. Werbos, Ludmila Dolmatova:
Analog quantum computing (AQC) and the need for time-symmetric physics. Quantum Inf. Process. 15(3): 1273-1287 (2016) - 2015
- [j18]Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos:
Complete stability analysis of a heuristic approximate dynamic programming control design. Autom. 59: 9-18 (2015) - [j17]Paul J. Werbos:
Stochastic Path Model of Polaroid Polarizer for Bell's Theorem and Triphoton Experiments. Int. J. Bifurc. Chaos 25(3): 1550046:1-1550046:15 (2015) - [i5]Paul J. Werbos:
Time-Symmetric Physics: A Radical Approach to the Decoherence Problem. CoRR abs/1501.00027 (2015) - 2014
- [c13]Paul J. Werbos:
From ADP to the brain: Foundations, roadmap, challenges and research priorities. IJCNN 2014: 107-111 - [i4]Paul J. Werbos:
From ADP to the Brain: Foundations, Roadmap, Challenges and Research Priorities. CoRR abs/1404.0554 (2014) - 2013
- [c12]Paul J. Werbos:
Fuzziness, Probability, Uncertainty and the Foundations of Knowledge. On Fuzziness (2) 2013: 831-856 - [i3]Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos:
Complete stability analysis of a heuristic ADP control design. CoRR abs/1308.3282 (2013) - 2012
- [j16]Paul J. Werbos:
Neural networks and the experience and cultivation of mind. Neural Networks 32: 86-95 (2012) - [j15]Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos:
Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks 32: 179-185 (2012) - 2011
- [j14]Paul J. Werbos:
Computational Intelligence for the Smart Grid - History, Challenges, and Opportunities. IEEE Comput. Intell. Mag. 6(3): 14-21 (2011) - [c11]Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos:
Metamodeling for large-scale optimization tasks based on object networks. IJCNN 2011: 2905-2910 - [c10]Paul J. Werbos:
Neural networks as a path to self-awareness. IJCNN 2011: 3264-3271 - 2010
- [i2]Paul J. Werbos:
Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity. CoRR abs/1006.0385 (2010)
2000 – 2009
- 2009
- [j13]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) - [c9]Paul J. Werbos:
Putting more brain-like intelligence into the electric power grid: What we need and how to do it. IJCNN 2009: 3356-3359 - 2008
- [j12]Roman Ilin, Robert Kozma, Paul J. Werbos:
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks 19(6): 929-937 (2008) - [j11]Paul J. Werbos:
Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence. IEEE Trans. Syst. Man Cybern. Part B 38(4): 898-900 (2008) - 2007
- [i1]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
- [c8]Roman Ilin, Robert Kozma, Paul J. Werbos:
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN 2006: 506-510 - 2002
- [j10]Paul J. Werbos:
Classical ODE and PDE which Obey Quantum Dynamics. Int. J. Bifurc. Chaos 12(10): 2031-2049 (2002) - 2001
- [c7]Paul J. Werbos:
Reconfigurable flight control via neurodynamic programming and universally stable adaptive control. ACC 2001: 2896-2900 - 2000
- [c6]Paul J. Werbos:
Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations. IJCNN (4) 2000: 31-36 - [c5]Paul J. Werbos:
New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain. IJCNN (3) 2000: 61-66
1990 – 1999
- 1999
- [c4]Paul J. Werbos:
New designs for universal stability in classical adaptive control and reinforcement learning. IJCNN 1999: 2292-2295 - 1998
- [c3]Paul J. Werbos:
Brain-like intelligent control: from neural nets to larger-scale systems. ESANN 1998: 59-66 - 1996
- [c2]Paul J. Werbos:
Finding time series among the chaos: stochastics, deseasonalization, and texture-detection using neural nets. CIFEr 1996: 58 - 1993
- [j9]Paul J. Werbos:
Elastic Fuzzy Logic: A Better Fit to Neurocontrol and True Intelligence. J. Intell. Fuzzy Syst. 1(4): 365-377 (1993) - [j8]Paul J. Werbos:
Neurocontrol and elastic fuzzy logic: capabilities, concepts, and applications. IEEE Trans. Ind. Electron. 40(2): 170-180 (1993) - 1992
- [j7]Paul J. Werbos:
Neurocontrol and fuzzy logic: Connections and designs. Int. J. Approx. Reason. 6(2): 185-219 (1992) - 1990
- [j6]Paul J. Werbos:
Consistency of HDP applied to a simple reinforcement learning problem. Neural Networks 3(2): 179-189 (1990) - [j5]Paul J. Werbos:
Backpropagation through time: what it does and how to do it. Proc. IEEE 78(10): 1550-1560 (1990)
1980 – 1989
- 1989
- [j4]Paul J. Werbos:
Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods. IEEE Trans. Syst. Man Cybern. 19(2): 315-333 (1989) - 1988
- [j3]Paul J. Werbos:
Generalization of backpropagation with application to a recurrent gas market model. Neural Networks 1(4): 339-356 (1988) - [c1]Paul J. Werbos:
Backpropagation: past and future. ICNN 1988: 343-353 - 1987
- [j2]Paul J. Werbos:
Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research. IEEE Trans. Syst. Man Cybern. 17(1): 7-20 (1987)
1970 – 1979
- 1978
- [j1]Paul J. Werbos, Jim Titus:
An Empirical Test of New Forecasting Methods Derived from a Theory of Intelligence: The Prediction of Conflict in Latin America. IEEE Trans. Syst. Man Cybern. 8(9): 657-666 (1978)
Coauthor Index
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