{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T02:50:25Z","timestamp":1716951025532},"reference-count":11,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2003,3]]},"abstract":"<jats:p> The average classification accuracy of an odor classification system is improved using a genetic algorithm to determine optimal parameters for feature extraction. Gaussian windowing functions, called \"kernels\" are evolved to extract information from the transient response of an array of gas sensors, resulting in a reduced set of extracted features for a linear discriminant pattern classification system. Results show significant improvements are achieved when compared to results obtained using a predetermined and fixed set of four bell-shaped kernels for every sensor. Examination of the evolved kernels reveals the areas of the sensor responses where discriminating information was identified. A novel data migration approach during training helps prevent overtraining, and the fitness measure chosen incorporates adjustments for both population diversity and solution complexity. A variety of adjustable parameters, including the definition of a time-varying dynamic weighting factor, encourage experimentation in order to appropriately tune the sampling methods and fitness measure. <\/jats:p>","DOI":"10.1142\/s0218213003001095","type":"journal-article","created":{"date-parts":[[2003,4,30]],"date-time":"2003-04-30T09:10:17Z","timestamp":1051693817000},"page":"17-35","source":"Crossref","is-referenced-by-count":6,"title":["EVOLUTIONARY OPTIMIZATION OF GAUSSIAN WINDOWING FUNCTIONS FOR DATA PREPROCESSING"],"prefix":"10.1142","volume":"12","author":[{"given":"DALE E.","family":"COURTE","sequence":"first","affiliation":[{"name":"University of Dayton, Computer Science, 300 College Park, Dayton OH 45469, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MATEEN M.","family":"RIZKI","sequence":"additional","affiliation":[{"name":"Wright State University, Computer Science and Engineering, Dayton, OH 45435, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LOUIS A.","family":"TAMBURINO","sequence":"additional","affiliation":[{"name":"AFRL\/SNAT, Wright-Patterson, AFB, 45433-7321, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"RICARDO","family":"GUTIERREZ-OSUNA","sequence":"additional","affiliation":[{"name":"Texas A&amp;M University, Computer Science, College Station, TX 77843, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","first-page":"18","volume":"211","author":"Gardner J. 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