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James Steck
James Steck
Verified email at wichita.edu
Title
Cited by
Cited by
Year
Simulations of quantum neural networks
EC Behrman, LR Nash, JE Steck, VG Chandrashekar, SR Skinner
Information Sciences 128 (3-4), 257-269, 2000
1622000
A quantum dot neural network
EC Behrman, J Niemel, JE Steck, SR Skinner
Proceedings of the 4th Workshop on Physics of Computation, 22-24, 1996
1061996
A quantum neural network computes entanglement
EC Behrman, V Chandrashekar, Z Wang, CK Belur, JE Steck, SR Skinner
arXiv preprint quant-ph/0202131, 2002
672002
Adaptive neural network inverse controller for general aviation safety
UJ Pesonen, JE Steck, K Rokhsaz, HS Bruner, N Duerksen
Journal of Guidance, Control, and Dynamics 27 (3), 434-443, 2004
612004
Use of Hopfield neural networks in optimal guidance
JE Steck, SN Balakrishnan
IEEE transactions on aerospace and electronic systems 30 (1), 287-293, 1994
591994
Adaptive feedback control by constrained approximate dynamic programming
S Ferrari, JE Steck, R Chandramohan
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008
552008
Quantum circuit representation of Bayesian networks
SE Borujeni, S Nannapaneni, NH Nguyen, EC Behrman, JE Steck
Expert Systems with Applications 176, 114768, 2021
522021
Use of neural networks in control of high-alpha maneuvers
K Rokhsaz, JE Steck
Journal of Guidance, Control, and Dynamics 16 (5), 934-939, 1993
481993
Crack propagation analysis using acoustic emission sensors for structural health monitoring systems
Z Kral, W Horn, J Steck
The Scientific World Journal 2013 (1), 823603, 2013
442013
A spatial quantum neural computer
EC Behrman, JE Steck, SR Skinner
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
441999
Benchmarking neural networks for quantum computations
NH Nguyen, EC Behrman, MA Moustafa, JE Steck
IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2522-2531, 2019
422019
Quantum algorithm design using dynamic learning
EC Behrman, JE Steck, P Kumar, KA Walsh
arXiv preprint arXiv:0808.1558, 2008
402008
An exploratory application of neural networks to airfoil design
S Huang, L Miller, J Steck
32nd aerospace sciences meeting and exhibit, 501, 1994
381994
Convergence of recurrent networks as contraction mappings
JE Steck
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks 3 …, 1992
361992
Linear and neural network feedback for flight control decoupling
JE Steck, K Rokhsaz, SP Shue
IEEE Control Systems Magazine 16 (4), 22-30, 1996
351996
Some applications of artificial neural networks in modeling of nonlinear aerodynamics and flight dynamics
J Steck, K Rokhsaz, J Steck, K Rokhsaz
35th Aerospace Sciences Meeting and Exhibit, 338, 1997
311997
Application of an artificial neural network as a flight test data estimator
RL McMillen, JE Steck, K Rokhsaz
Journal of aircraft 32 (5), 1088-1094, 1995
301995
Quantum learning with noise and decoherence: a robust quantum neural network
NH Nguyen, EC Behrman, JE Steck
Quantum Machine Intelligence 2 (1), 1, 2020
292020
Microtubules as a quantum Hopfield network
EC Behrman, K Gaddam, JE Steck, SR Skinner
The emerging physics of consciousness, 351-370, 2006
272006
Reinforcement and backpropagation training for an optical neural network using self-lensing effects
AA Cruz-Cabrera, M Yang, G Cui, EC Behrman, JE Steck, SR Skinner
IEEE transactions on neural networks 11 (6), 1450-1457, 2000
272000
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