scholarly journals A new tool based on artificial neural networks for the design of lightweight ceramic–metal armour against high-velocity impact of solids

2008 ◽  
Vol 45 (25-26) ◽  
pp. 6369-6383 ◽  
Author(s):  
D. Fernández-Fdz ◽  
R. Zaera
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
High Velocity ◽  
High Velocity Impact ◽  
Velocity Impact ◽  
Artificial Neural

scholarly journals Modeling the low-velocity impact characteristics of woven glass epoxy composite laminates using artificial neural networks

2012 ◽  
Vol 21 (3-4) ◽  
pp. 69-80
Author(s):  
N. Rajesh Mathivanan ◽  
Chandra Mouli
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Testing Machine ◽  
Impact Testing ◽  
Low Velocity Impact ◽  
Low Velocity ◽  
Velocity Impact ◽  
Feed Forward Back Propagation ◽  
Artificial Neural ◽  
Impact Characteristics

AbstractIn this work, a new methodology based on artificial neural networks (ANN) has been developed to study the low-velocity impact characteristics of woven glass epoxy laminates of EP3 grade. To train and test the networks, multiple impact cases have been generated using statistical analysis of variance (ANOVA). Experimental tests were performed using an instrumented falling-weight impact-testing machine. Different impact velocities and impact energies on different thicknesses of laminates were considered as the input parameters of the ANN model. This model is a feed-forward back-propagation neural network. Using the input/output data of the experiments, the model was trained and tested. Further, the effects of the low-velocity impact response of the laminates at different energy levels were investigated by studying the cause-effect relationship among the influential factors using response surface methodology. The most significant parameter is determined from the other input variables through ANOVA.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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