Shoal presents Machine Learning paper at MODSIM 2023

At the 25th International Congress on Modelling and Simulation, held in Darwin in July 2023, a team from Shoal Group presented a paper on Machine Learning. The presentation was titled ‘Machine learning–enabled missile system characterisation’ and explored the feasibility of characterising missile systems using a multilayer perceptron (MLP) neural network trained on simulated data. A simulated dataset of 8000 ballistic missile trajectories was generated using a custom developed Python script. This dataset was split into a testing and training subset and each trajectory (samples of speed, latitude, longitude, and altitude) was processed into an n × 1 dimensional vector.

It was demonstrated that the trained neural network could infer the relationship between a ballistic trajectory input and weapon system parameters output.

The authors of the paper were Thomas Larkin, Sarah Whitehouse, Ben Mashford and Tim Yeung.

Read their paper: 2023 MODSIM – Abstract – Machine Learning Enabled Missile System Characterisation.

View their presentation: 2023 MODSIM – Presentation – Machine Learning Enabled Missile System Characterisation.

At the same conference, Shoal also presented a paper titled ‘Understanding the unpredictability of a ballistic missile’.

Shoal has been supporting clients in Defence for more than two decades. For further insight into how Shoal uses Machine Learning, please contact us for a confidential discussion.

About Shoal

Shoal is complex systems design company. We use Systems Engineering combined with Modelling, Simulation and Analysis to help our clients define, analyse, decide, optimise, and deliver technology-intensive projects in complex environments across Defence, Space, Transport and Infrastructure.

More: shoalgroup.com

Media Contact

Shaun Wilson
CEO and Founder, Shoal Group
+61 438 394 288
[email protected]

Darwin, 17 August 2023