id |
ecaade2018_389 |
authors |
Algeciras-Rodriguez, Jose |
year |
2018 |
title |
Stochastic Hybrids - From references to design options through Self-Organizing Maps methodology. |
source |
Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 119-128 |
doi |
https://doi.org/10.52842/conf.ecaade.2018.1.119
|
summary |
This ongoing research aims to define a general assisted design method to offer non-trivial design options, where form is produced by merging characteristics from initial reference samples collection that serves as an input set. This project explores design processes laying on the use of non-linear procedures and experiments with Self-Organizing Map (SOM), as neural networks algorithms, to generate geometries. All processes are applied to a set of models representing classic sculpture, whose characteristics are encoded by the SOM process. The result of it is a set of new geometry resembling characteristics from the original references. This method produces hybrid forms that acquire characteristics from several input references. The resulting hybrid entities are intended to be non-trivial solutions to specific design situations, so far, at the stage of this research, mainly formal requirements. |
keywords |
Self-Orgnizing Maps; Cognitive Space; Design Options; Form Finding; Artificial Intelligence |
series |
eCAADe |
email |
josealgeciras@gmail.com |
full text |
file.pdf (6,046,114 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:54 |
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