{"id":844,"date":"2020-12-08T16:01:18","date_gmt":"2020-12-08T09:01:18","guid":{"rendered":"http:\/\/international.binus.ac.id\/information-system\/?p=844"},"modified":"2020-12-08T16:02:16","modified_gmt":"2020-12-08T09:02:16","slug":"ms3","status":"publish","type":"post","link":"https:\/\/international.binus.ac.id\/information-system\/2020\/12\/08\/ms3\/","title":{"rendered":"Modular learning models in forecasting natural phenomena"},"content":{"rendered":"
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D.P.<\/span>Solomatine, <\/span><\/span><\/a>M.B.<\/span>Siek<\/span><\/span><\/a><\/p>\n

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Hydroinformatics and Knowledge Management Department, UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n

https:\/\/doi.org\/10.1016\/j.neunet.2006.01.008<\/a>Get rights and content<\/a><\/p>\n

https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0893608006000141<\/p>\n

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Abstract<\/h2>\n
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Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input space, and may be trained on a subset of training set. Many algorithms for allocating such regions to local models typically do this in automatic fashion. In forecasting natural processes, however, domain experts want to bring in more knowledge into such allocation, and to have certain control over the choice of models. This paper presents a number of approaches to building modular models based on various types of splits of training set and combining the models\u2019 outputs (hard splits, statistically and deterministically driven soft combinations of models, \u2018fuzzy committees\u2019, etc.). An issue of including a domain expert into the modeling process is also discussed, and new algorithms in the class of model trees (piece-wise linear modular regression models) are presented. Comparison of the algorithms based on modular local modeling to the more traditional \u2018global\u2019 learning models on a number of benchmark tests and river flow forecasting problems shows their higher accuracy and transparency of the resulting models.<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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Keywords<\/h2>\n
Local models<\/div>\n
Modular models<\/div>\n
Committees<\/div>\n
Neural networks<\/div>\n
Flood forecasting<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

D.P.Solomatine, M.B.Siek Hydroinformatics and Knowledge Management Department, UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands https:\/\/doi.org\/10.1016\/j.neunet.2006.01.008Get rights and content https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0893608006000141   Abstract Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region […]<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-844","post","type-post","status-publish","format-standard","hentry","category-achievements"],"_links":{"self":[{"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/posts\/844"}],"collection":[{"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/comments?post=844"}],"version-history":[{"count":2,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/posts\/844\/revisions"}],"predecessor-version":[{"id":846,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/posts\/844\/revisions\/846"}],"wp:attachment":[{"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/media?parent=844"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/categories?post=844"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/international.binus.ac.id\/information-system\/wp-json\/wp\/v2\/tags?post=844"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}