Paul J. Werbos

39 papers B 8C 1Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Guest Editorial: Cyber-Physical-Social Intelligence: Toward Metaverse-Based Smart Societies of 6I and 6S. IEEE Trans. Syst. Man Cybern. Syst. Fei-Yue Wang, Ying Tang, Paul J. Werbos
2018	B	`conf`	AI Intelligence for the Grid 16 Years Later: Progress, Challenges and Lessons for Other Sectors. IJCNN Paul J. Werbos
2016	J	`jnl`	Analog quantum computing (AQC) and the need for time-symmetric physics. Quantum Inf. Process. Paul J. Werbos, Ludmila Dolmatova
2015	J	`jnl`	Complete stability analysis of a heuristic approximate dynamic programming control design. Autom. Yury Sokolov, Robert Kozma, Ludmilla D. Werbos, Paul J. Werbos
2015	J	`jnl`	Stochastic Path Model of Polaroid Polarizer for Bell's Theorem and Triphoton Experiments. Int. J. Bifurc. Chaos Paul J. Werbos
2015	J	`jnl`	Time-Symmetric Physics: A Radical Approach to the Decoherence Problem. CoRR Paul J. Werbos
2014	J	`jnl`	From ADP to the Brain: Foundations, Roadmap, Challenges and Research Priorities. CoRR Paul J. Werbos
2014	B	`conf`	From ADP to the brain: Foundations, roadmap, challenges and research priorities. IJCNN Paul J. Werbos
2013	J	`jnl`	Complete stability analysis of a heuristic ADP control design. CoRR Yury Sokolov, Robert Kozma, Ludmilla Werbos, Paul J. Werbos
2013	—	`conf`	Fuzziness, Probability, Uncertainty and the Foundations of Knowledge. On Fuzziness (2) Paul J. Werbos
2012	J	`jnl`	Metamodeling and the Critic-based approach to multi-level optimization. Neural Networks Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
2012	J	`jnl`	Neural networks and the experience and cultivation of mind. Neural Networks Paul J. Werbos
2011	J	`jnl`	Computational Intelligence for the Smart Grid - History, Challenges, and Opportunities. IEEE Comput. Intell. Mag. Paul J. Werbos
2011	B	`conf`	Metamodeling for large-scale optimization tasks based on object networks. IJCNN Ludmilla Werbos, Robert Kozma, Rodrigo Silva-Lugo, Giovanni Egidio Pazienza, Paul J. Werbos
2011	B	`conf`	Neural networks as a path to self-awareness. IJCNN Paul J. Werbos
2010	J	`jnl`	Brain-Like Stochastic Search: A Research Challenge and Funding Opportunity CoRR Paul J. Werbos
2009	J	`jnl`	Intelligence in the brain: A theory of how it works and how to build it. Neural Networks Paul J. Werbos
2009	B	`conf`	Putting more brain-like intelligence into the electric power grid: What we need and how to do it. IJCNN Paul J. Werbos
2008	J	`jnl`	Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks Roman Ilin, Robert Kozma, Paul J. Werbos
2008	J	`jnl`	Foreword: ADP - The Key Direction for Future Research in Intelligent Control and Understanding Brain Intelligence. IEEE Trans. Syst. Man Cybern. Part B Paul J. Werbos
2007	J	`jnl`	Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator CoRR Roman Ilin, Robert Kozma, Paul J. Werbos
2006	B	`conf`	Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN Roman Ilin, Robert Kozma, Paul J. Werbos
2002	J	`jnl`	Classical ODE and PDE which Obey Quantum Dynamics. Int. J. Bifurc. Chaos Paul J. Werbos
2001	C	`conf`	Reconfigurable flight control via neurodynamic programming and universally stable adaptive control. ACC Paul J. Werbos
2000	—	`conf`	Extending Chaos and Complexity Theory to Address Life, Brain and Quantum Foundations. IJCNN (4) Paul J. Werbos
2000	—	`conf`	New Directions in ACDs: Keys to Intelligent Control and Understanding the Brain. IJCNN (3) Paul J. Werbos
1999	B	`conf`	New designs for universal stability in classical adaptive control and reinforcement learning. IJCNN Paul J. Werbos
1998	B	`conf`	Brain-like intelligent control: from neural nets to larger-scale systems. ESANN Paul J. Werbos
1996	—	`conf`	Finding time series among the chaos: stochastics, deseasonalization, and texture-detection using neural nets. CIFEr Paul J. Werbos
1993	J	`jnl`	Elastic Fuzzy Logic: A Better Fit to Neurocontrol and True Intelligence. J. Intell. Fuzzy Syst. Paul J. Werbos
1993	J	`jnl`	Neurocontrol and elastic fuzzy logic: capabilities, concepts, and applications. IEEE Trans. Ind. Electron. Paul J. Werbos
1992	J	`jnl`	Neurocontrol and fuzzy logic: Connections and designs. Int. J. Approx. Reason. Paul J. Werbos
1990	J	`jnl`	Backpropagation through time: what it does and how to do it. Proc. IEEE Paul J. Werbos
1990	J	`jnl`	Consistency of HDP applied to a simple reinforcement learning problem. Neural Networks Paul J. Werbos
1989	J	`jnl`	Maximizing long-term gas industry profits in two minutes in Lotus using neural network methods. IEEE Trans. Syst. Man Cybern. Paul J. Werbos
1988	—	`conf`	Backpropagation: past and future. ICNN Paul J. Werbos
1988	J	`jnl`	Generalization of backpropagation with application to a recurrent gas market model. Neural Networks Paul J. Werbos
1987	J	`jnl`	Building and Understanding Adaptive Systems: A Statistical/Numerical Approach to Factory Automation and Brain Research. IEEE Trans. Syst. Man Cybern. Paul J. Werbos
1978	J	`jnl`	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. Paul J. Werbos, Jim Titus