2026-10-12T14:00:56Z https://data.mendeley.com/oai

oai:data.mendeley.com/3rgkbwnzdb.1 2022-12-12T22:04:47Z

Rietkerk, Robbert Pre-trained artificial neural network for prediction of long-rod penetration depth in a semi-infinite target Mendeley Data A pre-trained artificial neural network is provided for predicting the scaled penetration depth P/L of a rod penetrating into a semi-infinite target, based on the rod length-over-diameter ratio L/D, the impact velocity and the density and hardness of the target and projectile materials. The tensorflow keras sequential network is stored as neural_network.h5 in hierarchical data format (HDF5). The script main.py demonstrates an application of the neural network. Alternatively, the notebook main.ipynb or its static version main.html may be consulted. Machine Learning Terminal Ballistics Heine, Andreas Riedel, Werner Dataset doi:10.17632/3rgkbwnzdb.1 oai:data.mendeley.com/3rgkbwnzdb.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/3rgkbwnzdb 2022-12-12T22:04:47Z