%0 Journal Article %1 journals/kbs/ZhouOPQS24 %A Zhou, Kun %A Oh, Sung-Kwun %A Pedrycz, Witold %A Qiu, Jianlong %A Seo, Kisung %D 2024 %J Knowl. Based Syst. %K dblp %P 111481 %T A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. %U http://dblp.uni-trier.de/db/journals/kbs/kbs289.html#ZhouOPQS24 %V 289

@article{journals/kbs/ZhouOPQS24, added-at = {2024-05-31T00:00:00.000+0200}, author = {Zhou, Kun and Oh, Sung-Kwun and Pedrycz, Witold and Qiu, Jianlong and Seo, Kisung}, biburl = {https://www.bibsonomy.org/bibtex/22adc65f906f539803c3055bb88e95192/dblp}, ee = {https://doi.org/10.1016/j.knosys.2024.111481}, interhash = {1e552e63755be6a12be63b23f13abee8}, intrahash = {2adc65f906f539803c3055bb88e95192}, journal = {Knowl. Based Syst.}, keywords = {dblp}, pages = 111481, timestamp = {2024-06-03T07:12:16.000+0200}, title = {A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting.}, url = {http://dblp.uni-trier.de/db/journals/kbs/kbs289.html#ZhouOPQS24}, volume = 289, year = 2024 }