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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.
3.
Evaluation and Design of Robust Neural Network Defenses
by Carlini, Nicholas, Ph.D.  University of California, Berkeley. 2018: 138 pages; 10931076.
5.
Stochastic Neural Algorithms
by Engler, Gary Ronald, Jr., Ph.D.  Stevens Institute of Technology. 2018: 161 pages; 10979690.
6.
Wavelet transform and neural network
by Ghafoori, Elyar, M.S.  California State University, Long Beach. 2014: 60 pages; 1527935.
7.
Combinatorial Neural Network Training Algorithm for Neuromorphic Computing
by Date, Prasanna, Ph.D.  Rensselaer Polytechnic Institute. 2019: 133 pages; 22583141.
8.
The Effect of Inhibitory Feedback in a Small Neural Network
by Kim, Yungkwon, Ph.D.  New York University. 2014: 118 pages; 3614879.
9.
Electroencephalogram classification by forecasting with recurrent neural networks
by Forney, Elliott M., M.S.  Colorado State University. 2011: 79 pages; 1503664.
10.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
11.
Lithium-Ion Battery SOC Estimation Using Deep Learning Neural Networks
by Wang, Rui, M.S.  Rutgers The State University of New Jersey, School of Graduate Studies. 2019: 55 pages; 22624788.
12.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
14.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
15.
Smart Real-time Image Processing for Ultrasounds Using Cellular Neural Network
by Ayoubi, Randa, Ph.D.  University of Louisiana at Lafayette. 2014: 123 pages; 3711169.
16.
Development of an Artificial Neural Network to Predict In-Use Engine Emissions
by Morris, Melissa L., Ph.D.  West Virginia University. 2011: 190 pages; 3486738.
17.
Spacecraft Formation Control: Adaptive PID-Extended Memory Recurrent Neural Network Controller
by Gonzalez, Juan, M.S.  California State University, Long Beach. 2018: 76 pages; 10978237.
18.
Detecting Phone-Related Pedestrian Behavior Using a Two-Branch Convolutional Neural Network
by Saenz, Humberto, M.S.  The University of Texas Rio Grande Valley. 2019: 65 pages; 27544252.
19.
Neural Network Optimization of Airline Ticket Booking: An Airline Revenue Management System
by Alsharif, Mustafa Adnan, Ph.D.  Florida Institute of Technology. 2012: 239 pages; 3507025.
20.
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.
21.
22.
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.
25.
An exploration of varying conditions in a Hopfield Neural Network and applications to a DNA implementation
by Hughes, Bradley Steven, Ph.D.  University of California, Riverside. 2010: 233 pages; 3426183.
26.
Blood Glucose Management Streptozotocin-Induced Diabetic Rats by Artificial Neural Network Based Model Predictive Control
by Bahremand, Saeid, M.S.  Southern Illinois University at Edwardsville. 2016: 92 pages; 10249804.
29.
Modeling Individual Differences in the Neural Encoding of Working Memory through Network-based Functional Neuroimaging and Clinical Neuropsychology
by Kearney-Ramos, Tonisha Evette, Ph.D.  University of Arkansas for Medical Sciences. 2015: 194 pages; 10103554.
30.
Machine Learning Applications to Robot Control
by Abdul-hadi, Omar, Ph.D.  University of California, Berkeley. 2018: 93 pages; 10817183.
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