{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/nonlinear-systems-identification-using-deep","title":"Nonlinear Systems Identification Using Deep Dynamic Neural Networks","arxiv_id":"1610.01439","date":"2016-10-05","proceeding":null,"authors":["Olalekan Ogunmolu","Xuejun Gu","Steve Jiang","Nicholas Gans"],"abstract":"Neural networks are known to be effective function approximators. Recently,\ndeep neural networks have proven to be very effective in pattern recognition,\nclassification tasks and human-level control to model highly nonlinear\nrealworld systems. This paper investigates the effectiveness of deep neural\nnetworks in the modeling of dynamical systems with complex behavior. Three deep\nneural network structures are trained on sequential data, and we investigate\nthe effectiveness of these networks in modeling associated characteristics of\nthe underlying dynamical systems. We carry out similar evaluations on select\npublicly available system identification datasets. We demonstrate that deep\nneural networks are effective model estimators from input-output data","url_abs":"http://arxiv.org/abs/1610.01439v1","url_pdf":"http://arxiv.org/pdf/1610.01439v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"nonlinear-systems-identification-using-deep","repo_url":"https://github.com/lakehanne/FARNN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"torch","reach":null}],"tasks":[{"task_slug":"dynamic-neural-networks","task_name":"Dynamic neural networks"},{"task_slug":"classification","task_name":"General Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1610.01439","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}