März, C. (2024). The effects of differential equation based knowledge embedding strategies in deep learning models: An investigation on how to model physico-chemical processes with neural networks. Technische Universität Berlin. https://doi.org/10.14279/depositonce-22011
Chicago-Zitierstil (17. Ausg.)März, Christian-Thomas. The Effects of Differential Equation Based Knowledge Embedding Strategies in Deep Learning Models: An Investigation on How to Model Physico-chemical Processes with Neural Networks. Berlin: Technische Universität Berlin, 2024. https://doi.org/10.14279/depositonce-22011.
MLA-Zitierstil (9. Ausg.)März, Christian-Thomas. The Effects of Differential Equation Based Knowledge Embedding Strategies in Deep Learning Models: An Investigation on How to Model Physico-chemical Processes with Neural Networks. Technische Universität Berlin, 2024. https://doi.org/10.14279/depositonce-22011.