John Seiffertt
John Seiffertt
Verified email at
Cited by
Cited by
Hamilton–Jacobi–Bellman equations and approximate dynamic programming on time scales
J Seiffertt, S Sanyal, DC Wunsch
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008
Coordinated machine learning and decision support for situation awareness
NG Brannon, JE Seiffertt, TJ Draelos, DC Wunsch II
Neural Networks 22 (3), 316-325, 2009
Backpropagation and ordered derivatives in the time scales calculus
J Seiffertt, DC Wunsch
IEEE transactions on neural networks 21 (8), 1262-1269, 2010
Intelligence in markets: Asset pricing, mechanism design, and natural computation [technology review]
J Seiffertt, D Wunsch
IEEE Computational Intelligence Magazine 3 (4), 27-30, 2008
Information fusion and situation awareness using artmap and partially observable markov decision processes
N Brannon, G Conrad, T Draelos, J Seiffertt, D Wunsch
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
Hands On Projects And Exercises To Strengthen Understanding Of Basic Computer Engineering Concepts
R Dua, J Stanley, D Beetner, D Wunsch
2005 Annual Conference, 10.682. 1-10.682. 9, 2005
Adaptive resonance theory in the time scales calculus
J Seiffertt
Neural Networks 120, 32-39, 2019
Unified computational intelligence for complex systems
J Seiffertt, DC Wunsch
Springer, 2010
Neural networks and Markov models for the iterated prisoner's dilemma
J Seiffertt, S Mulder, R Dua, DC Wunsch
2009 International Joint Conference on Neural Networks, 2860-2866, 2009
Unified Computational Intelligence for Complex Systems, ser. Evolutionary Learning and Optimization
J Seiffertt, DC Wunsch
Springer Berlin Heidelberg, Berlin, Heidelberg, 2010
An alpha derivative formulation of the hamilton-jacobi-bellman equation of dynamic programming
J Seiffertt
2009 International Joint Conference on Neural Networks, 2854-2859, 2009
Digital logic for computing
J Seiffertt
Springer, 2017
An agent-based computational model of a self-organizing project management paradigm for research teams
P Robinette, J Seiffertt, R Meuth, R Dolan, D Wunsch
2009 International Joint Conference on Neural Networks, 2693-2698, 2009
A quantum calculus formulation of dynamic programming and ordered derivatives
J Seiffertt, DC Wunsch
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
An application of unified computational intelligence
J Seiffertt, DC Wunsch, J Seiffertt, DC Wunsch
Unified Computational Intelligence for Complex Systems, 33-48, 2010
Higher order neural network architectures for agent-based computational economics and finance
J Seiffertt, DC Wunsch II
Artificial Higher Order Neural Networks for Economics and Business, 79-93, 2009
Japanese deflation loses something in the translation
J Bullard, J Seiffertt
Economic Synopses 2003 (2003-09-02), 2003
Approximate Dynamic Programming and Backpropagation on Timescales
J Seiffertt, D Wunsch
Reinforcement Learning and Approximate Dynamic Programming for Feedback …, 2012
Data fusion and classification using a hybrid intrinsic cellular inference network
R Woodley, B Walenz, J Seiffertt, P Robinette, D Wunsch
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and …, 2010
Unified Computational Intelligence
D Wunsch, J Seiffertt
Intelligence, 2009
The system can't perform the operation now. Try again later.
Articles 1–20