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martindoff/DC-Deep-Neural-Network

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Learn dynamical systems as a difference of convex functions (DC) using a feedforward Neural Network (NN) architecture with DC structure. The resulting model learns the dynamics f in DC form as follows: f= f1 -f2 where f1 and f2 are convex functions. Example on the coupled tank problem.

active 2023-10-212023-10-21 (UTC)

Complete coverage27,190 / 27,192 hourly files (100%) · 2 absent upstream2023-08-152026-09-20 (UTC)
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Line chart, 1 days from 2023-10-21 to 2023-10-21. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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martindoff1100

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