John Seiffertt

12 papers B 6Journal 5

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Adaptive Resonance Theory in the time scales calculus. Neural Networks John Seiffertt
2017	—	`book`	Digital Logic for Computing John Seiffertt
2010	J	`jnl`	Backpropagation and ordered derivatives in the time scales calculus. IEEE Trans. Neural Networks John Seiffertt, Donald C. Wunsch
2009	B	`conf`	An Agent-Based computational model of a self-organizing project management paradigm for research teams. IJCNN Paul Robinette, John Seiffertt, Ryan J. Meuth, Ryanne Dolan, Donald C. Wunsch
2009	B	`conf`	An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming. IJCNN John Seiffertt
2009	J	`jnl`	Coordinated machine learning and decision support for situation awareness. Neural Networks Nathan Brannon, John Seiffertt, Timothy Draelos, Donald C. Wunsch II
2009	B	`conf`	Neural networks and Markov models for the iterated prisoner's dilemma. IJCNN John Seiffertt, Samuel A. Mulder, Rohit Dua, Donald C. Wunsch
2008	B	`conf`	A quantum calculus formulation of dynamic programming and ordered derivatives. IJCNN John Seiffertt, Donald C. Wunsch
2008	B	`conf`	Decision theory on dynamic domains nabla derivatives and the Hamilton-Jacobi-Bellman equation. SMC John Seiffertt, Donald C. Wunsch, Suman Sanyal
2008	J	`jnl`	Hamilton-Jacobi-Bellman Equations and Approximate Dynamic Programming on Time Scales. IEEE Trans. Syst. Man Cybern. Part B John Seiffertt, Suman Sanyal, Donald C. Wunsch
2008	J	`jnl`	Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation [Technology Review]. IEEE Comput. Intell. Mag. John Seiffertt, Donald Wunsch
2006	B	`conf`	Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes. IJCNN Nathan Brannon, Gregory Conrad, Timothy Draelos, John Seiffertt, Donald C. Wunsch