{"id":"doi:10.1016/j.asoc.2022.109945","kind":"article","title":"Temporal Convolutional Networks with RNN approach for chaotic time series prediction","authors":["Hatice Vildan Düdükçü","Murat Taşkıran","Zehra Gülru Çam Taşkıran","Tülay Yıldırım"],"author_count":4,"year":2022,"published":"2022-12-16","venue":"Applied Soft Computing","cited_by":220,"doi":"10.1016/j.asoc.2022.109945","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.asoc.2022.109945","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.asoc.2022.109945","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W4312105465","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Chaos control and synchronization"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}