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1.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
2.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
4.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
5.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
6.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
7.
Variable Memory Recurrent Neural Networks for Nano Sat Launch Vehicle attitude control
by Sclafani, Rodolfo J., M.S.  California State University, Long Beach. 2014: 79 pages; 1527749.
8.
The human neuroscience of the risk for and expression of drug addiction
by Elton, Amanda Lea, Ph.D.  University of Arkansas for Medical Sciences. 2012: 127 pages; 3551921.
9.
Computational modeling of biological neural networks on GPUS: Strategies and performance
by Galbraith, Byron V., M.S.  Marquette University. 2010: 130 pages; 1479117.
10.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
11.
Utilizing Various Neural Network Architectures to Play a Game Developed for Human Players
by Arender, Blake, M.S.  The University of Mississippi. 2018: 51 pages; 10752390.
12.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
13.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
14.
Reduced HyperBF networks: Practical optimization, regularization, and applications in bioinformatics
by Mahdi, Rami Nezar, Ph.D.  University of Louisville. 2010: 119 pages; 3415069.
15.
Using Neural Networks to Predict Vortex-Panel Analyses: A Feasibility Study
by Wright, Brendan, M.S.  Rensselaer Polytechnic Institute. 2018: 103 pages; 10980821.
16.
Design of a Multi-objective Landing Trajectory Using Artificial Neural Networks
by Dedman, Phoebe Elizabeth, M.S.  California State University, Long Beach. 2018: 118 pages; 10837984.
17.
Gray-cast iron classification based on graphite flakes using image morphology and neural networks
by Yeliyur Siddegowda, Darshan, M.S.  California State University, Long Beach. 2016: 55 pages; 10017846.
19.
Spiking Neural Networks and Sparse Deep Learning
by Tavanaei, Amirhossein, Ph.D.  University of Louisiana at Lafayette. 2018: 176 pages; 10807940.
20.
Novel patterns of activity in the hippocampus
by Kay, Kenneth, Ph.D.  University of California, San Francisco. 2016: 130 pages; 10133436.
21.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
22.
Development and Testing of a Combined Neural-Genetic Algorithm to Identify CO2 Sequestration Candidacy Wells
by Zhang, Xiaohui, M.S.  University of Louisiana at Lafayette. 2015: 140 pages; 1594272.
23.
DiffFrameNet: A Deep Learning Method for Intuitive Robot Navigation
by Cao, Bo, M.S.  University of Colorado at Boulder. 2018: 69 pages; 10809457.
24.
Cyber Incident Anomaly Detection Using Multivariate Analysis and Machine Learning
by Campbell, Ronald K., D.Engr.  The George Washington University. 2018: 121 pages; 10784357.
25.
Drilling Hydraulics Optimization Using Neural Networks
by Wang, Yanfang, M.S.  University of Louisiana at Lafayette. 2014: 73 pages; 1592757.
27.
An Exploration of the Role of Cellular Neuroplasticity in Large Scale Models of Biological Neural Networks
by Skorheim, Steven W., Ph.D.  University of California, Riverside. 2014: 170 pages; 3630750.
28.
Creative Learning for Intelligent Robots
by Liao, Xiaoqun, Ph.D.  University of Cincinnati. 2006: 295 pages; 10857161.
29.
30.
Early Mammalian Neural Crest Development
by Betters, Erin Ann, Ph.D.  Yale University. 2012: 168 pages; 3535405.
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