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Two types of experiments respectively related with the approximation problem and the prediction problem in nonlinear dynamic systems are designed to verify the effectiveness of the proposed method. Compared with the classical subnet learning method, the average testing error of the proposed method is dramatically decreased and more stable. The superiority of the relative distance measure is also corroborated.<\/p>","DOI":"10.4018\/jgim.2018040105","type":"journal-article","created":{"date-parts":[[2018,2,16]],"date-time":"2018-02-16T12:45:03Z","timestamp":1518785103000},"page":"104-126","source":"Crossref","is-referenced-by-count":2,"title":["Methodological Research for Modular Neural Networks Based on \u201can Expert With Other Capabilities\u201d"],"prefix":"10.4018","volume":"26","author":[{"given":"Pan","family":"Wang","sequence":"first","affiliation":[{"name":"Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiasen","family":"Wang","sequence":"additional","affiliation":[{"name":"Hithink RoyalFlush Information Network Co., Ltd., Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wuhan University of Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"key":"JGIM.2018040105-0","doi-asserted-by":"publisher","DOI":"10.1049\/ip-cta:19941395"},{"key":"JGIM.2018040105-1","doi-asserted-by":"publisher","DOI":"10.1080\/23270012.2014.992985"},{"key":"JGIM.2018040105-2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-35660-0_10"},{"key":"JGIM.2018040105-3","doi-asserted-by":"publisher","DOI":"10.1109\/5.784227"},{"key":"JGIM.2018040105-4","doi-asserted-by":"publisher","DOI":"10.1016\/j.stem.2013.03.004"},{"key":"JGIM.2018040105-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2016.04.004"},{"key":"JGIM.2018040105-6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2264952"},{"key":"JGIM.2018040105-7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75538-8_7"},{"key":"JGIM.2018040105-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2017.01.001"},{"key":"JGIM.2018040105-9","doi-asserted-by":"publisher","DOI":"10.1080\/23270012.2015.1020891"},{"key":"JGIM.2018040105-10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2012.2188804"},{"key":"JGIM.2018040105-11","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-008-0371-9"},{"key":"JGIM.2018040105-12","author":"G. 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