{"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/neo-fuzzy-neuron-based-new-approach-to-system","title":"Neo-fuzzy-neuron based new approach to system modeling, with application to actual system","arxiv_id":null,"date":"1994-11-01","proceeding":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94 1994 11","authors":["E. Uchino","T. Yamakawa"],"abstract":"This paper introduces a new approach to system modeling by using a neo-fuzzy-neuron. The system of concern is modeled adaptively by simply feeding to the neo-fuzzy-neuron, the basic principle of which was proposed by the authors in 1992, the input and the output data of the objective system. Firstly, the neo-fuzzy-neuron is applied to the restoration of a saturated and/or intermittent speech or chaotic signal to show its actual effectiveness. It is then extended in order to get a better generalization capability. An adaptive fuzzy modeling with use of a piece-wise linear membership function is also introduced. The experimental results have provided substantial proofs for their practical use.","url_abs":"https://doi.org/10.1109/TAI.1994.346442","url_pdf":"https://doi.org/10.1109/TAI.1994.346442","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":[],"tasks":[],"methods":[{"method_slug":"nfn","method_name":"NFN"}],"datasets_introduced":[],"methods_introduced":[{"slug":"nfn","name":"NFN","full_name":"Neo-fuzzy-neuron"}],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}