Improving scenario-technique by a semi-automatized consistency assessment based on pattern recognition by artificial neural networks
I. Gräßler, P. Scholle, H. Thiele, Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020 1 (2020) 147–156.
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Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020
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Gräßler I, Scholle P, Thiele H. Improving scenario-technique by a semi-automatized consistency assessment based on pattern recognition by artificial neural networks. Proceedings of the DESIGN 2020 16th International Design Conference; 26 - 29 Okt 2020. 2020;1:147-156.
Gräßler, I., Scholle, P., & Thiele, H. (2020). Improving scenario-technique by a semi-automatized consistency assessment based on pattern recognition by artificial neural networks. Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020, 1, 147–156.
@article{Gräßler_Scholle_Thiele_2020, title={Improving scenario-technique by a semi-automatized consistency assessment based on pattern recognition by artificial neural networks}, volume={1}, journal={Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020}, publisher={Cambridge University Press}, author={Gräßler, Iris and Scholle, Philipp and Thiele, Henrik}, year={2020}, pages={147–156} }
Gräßler, Iris, Philipp Scholle, and Henrik Thiele. “Improving Scenario-Technique by a Semi-Automatized Consistency Assessment Based on Pattern Recognition by Artificial Neural Networks.” Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020 1 (2020): 147–56.
I. Gräßler, P. Scholle, and H. Thiele, “Improving scenario-technique by a semi-automatized consistency assessment based on pattern recognition by artificial neural networks,” Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020, vol. 1, pp. 147–156, 2020.
Gräßler, Iris, et al. “Improving Scenario-Technique by a Semi-Automatized Consistency Assessment Based on Pattern Recognition by Artificial Neural Networks.” Proceedings of the DESIGN 2020 16th International Design Conference; 26. - 29. Okt. 2020, vol. 1, Cambridge University Press, 2020, pp. 147–56.
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