{"id":17242,"date":"2022-01-17T01:56:55","date_gmt":"2022-01-16T23:56:55","guid":{"rendered":"https:\/\/www.aosr.ro\/specific-objectives-15\/"},"modified":"2022-01-17T01:56:55","modified_gmt":"2022-01-16T23:56:55","slug":"specific-objectives-15","status":"publish","type":"page","link":"https:\/\/www.aosr.ro\/en\/specific-objectives-15\/","title":{"rendered":"Specific Objectives"},"content":{"rendered":"
    \n
  1. IAS analysis using multi-class artificial neural networks (RNA-MC) for value prediction of parameters of interest;<\/li>\n
  2. ANFIS hybrid analysis for three-dimensional interpretation of interdependencies and trends between indicators (Matlab software – fuzzy);<\/li>\n
  3. UPS optimization;<\/li>\n<\/ol>\n

    <\/strong><\/p>\n

    Steps:<\/strong><\/p>\n

      \n
    1. Study of the concept of UPS and the practical way of accomplishment;<\/li>\n<\/ol>\n

      Creating a database following the measurements at an IAS;<\/p>\n

      Predicting the size of UPS parameters using as software: Your Learning Machine<\/em> ;<\/p>\n

       <\/p>\n

        \n
      1. Using the results obtained with the help of multi-class artificial neural networks in the FIS analysis of UPS (Takagi-Sugeno) using as Matlab software: fuzzy-FIS Sugeno<\/em> ;<\/li>\n<\/ol>\n

        Optimization of a Fundraiser based on the results obtained;<\/p>\n","protected":false},"excerpt":{"rendered":"

        IAS analysis using multi-class artificial neural networks (RNA-MC) for value prediction of parameters of interest; ANFIS hybrid analysis for three-dimensional interpretation of interdependencies and trends between indicators (Matlab software – fuzzy); UPS optimization; Steps: Study of the concept of UPS and the practical way of accomplishment; Creating a database following the measurements at an IAS; […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-17242","page","type-page","status-publish"],"yoast_head":"\nSpecific Objectives - The Academy of Romanian Scientists<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.aosr.ro\/en\/specific-objectives-15\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Specific Objectives - The Academy of Romanian Scientists\" \/>\n<meta property=\"og:description\" content=\"IAS analysis using multi-class artificial neural networks (RNA-MC) for value prediction of parameters of interest; 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