{"id":23,"date":"2010-08-27T18:42:34","date_gmt":"2010-08-27T16:42:34","guid":{"rendered":"http:\/\/lwibs01.gm.fh-koeln.de\/blogs\/ciop\/?page_id=23"},"modified":"2015-03-18T19:52:29","modified_gmt":"2015-03-18T18:52:29","slug":"about","status":"publish","type":"page","link":"https:\/\/blogs.gm.fh-koeln.de\/ciop\/about\/","title":{"rendered":"About"},"content":{"rendered":"

\n\tWhat is CIOP?<\/strong>
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\n\t\t (C<\/strong>omputational I<\/strong>ntelligence, OP<\/strong>timization and Data Mining) is an approved Research Center at the Cologne University of Applied Sciences<\/a>. Computational Intelligence (CI<\/strong>) deals with optimization based on nature-inspired principles and methods: Evolutionary algorithms, neural nets and fuzzy logic. Data Mining (DM<\/strong>) uses these methods as well as other methods from machine learning for tasks like data analysis, classification, regression and forecasting.<\/span><\/span>\n\t<\/p>\n

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\n\t\t\t\t\t\tWhy is CIOP important for most areas in industry and economy? The increasing interconnectedness of industry sites and the ever-increasing, ubiquitous trend for data acquisition offers new possibilities but brings with it also the challenge to analyse vast amounts of more and more detailed data.  It is nevertheless important to do this analysis profoundly due to the necessity to steer optimally all kind of processes and to have good forecasts of future trends, on the coarse and on the detailed level. Therefore, most companies have already set up processes to perform this data analysis. It is the aim of CIOP to provide leading-edge solutions to companies and research institutions for optimization and automated, self-learning data mining.  We try to remain up-to-date with our national and international cooperations<\/a> to leading research groups in the field.<\/span>\n\t\t\t\t\t<\/p>\n

\n\t\t\t\t\t\tCIOP is the umbrella for numerous research projects in the area of modelling, learning, tuning and optimization. The currecnt spectrum of methods in CIOP includes, but is not limited to:<\/span>
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