{"id":140,"date":"2022-03-11T08:53:16","date_gmt":"2022-03-11T07:53:16","guid":{"rendered":"http:\/\/au.feri.um.si\/lpa\/?p=140"},"modified":"2026-10-30T11:42:39","modified_gmt":"2026-10-30T10:42:39","slug":"eureka-neuro-temp","status":"publish","type":"post","link":"https:\/\/au.feri.um.si\/lpa\/en\/eureka-neuro-temp\/","title":{"rendered":"Temperature control based on soft computing methods"},"content":{"rendered":"
\n
\n

\u2190 Research projects<\/a><\/p>\n\n\n\n

01.5 \u00b7 EUREKA NEURO-TEMP<\/p>\n\n\n\n

Temperature control based on soft computing methods<\/h1>\n\n\n\n

Improved control of high-temperature systems using soft computing methods. The main goal is a more uniform temperature distribution in industrial furnaces for heat treatment of materials.<\/p>\n<\/div>\n<\/section>\n\n\n\n

\n
\n
\n
\n

About the project<\/h2>\n\n\n\n

A new approach to temperature process control based on soft computing methods. The project improved the approach to controlling high-temperature systems, which are usually based on linear models.<\/p>\n\n\n\n

The main emphasis is on a better temperature field distribution in industrial furnaces for heat treatment of materials, with fewer heaters, limited by the technological and economic constraints of the system. Advanced concepts and control algorithms are used, such as evolutionary algorithms, neural networks and fuzzy logic.<\/p>\n<\/div>\n\n\n\n

\n
Type<\/td>International EUREKA project (NEURO-TEMP)<\/td><\/tr>
Application<\/td>Industrial furnaces for heat treatment of materials<\/td><\/tr>
Methods<\/td>Evolutionary algorithms, neural networks, fuzzy logic<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\"EUREKA\n\t\t\t\n\t\t\t\t\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n\n\n\n
\n

\u2190 Previous<\/span>Web-based, remote and distributed control technology<\/a><\/p>\n\n\n\n

Next \u2192<\/span>Power factor control on the synchronous generator of a CHP unit<\/a><\/p>\n<\/div>\n<\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"

\u2190 Raziskovalni projekti 01.5 \u00b7 EUREKA NEURO-TEMP Vodenje temperature na osnovi metod mehkega ra\u010dunanja Izbolj\u0161ano vodenje visokotemperaturnih sistemov z metodami mehkega ra\u010dunanja. Glavni cilj je enakomernej\u0161a porazdelitev temperature v industrijskih pe\u010deh za toplotno obdelavo materialov. O projektu Nov pristop k vodenju procesa temperature na osnovi metod mehkega ra\u010dunanja. V okviru projekta je bil izbolj\u0161an pristop […]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"page-brez-naslova","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-140","post","type-post","status-publish","format-standard","hentry","category-raziskovalno-delo"],"_links":{"self":[{"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/posts\/140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/comments?post=140"}],"version-history":[{"count":2,"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/posts\/140\/revisions"}],"predecessor-version":[{"id":420,"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/posts\/140\/revisions\/420"}],"wp:attachment":[{"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/media?parent=140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/categories?post=140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/au.feri.um.si\/lpa\/en\/wp-json\/wp\/v2\/tags?post=140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}