{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T12:17:47Z","timestamp":1759666667450},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[1998,4]]},"abstract":"<jats:p> The world-wide demands for reasonable fuel consumption and reduced engine emissions force engine developers to improve the combustion process. Automobile makers are expecting to meet these demands by increasing the engine compression ratio. However, this improvement leads back to the problem of engine knock and appropriate engine control. Thus, the ability to detect engine knock with high precision will be mandatory for car makers. We propose a detection scheme that consists of two main blocks: multi-feature extraction and neural classification. This paper gives a short overview of the concept and presents a developed constructive learning algorithm for the cycle-by-cycle detection task. <\/jats:p>","DOI":"10.1142\/s0218488598000112","type":"journal-article","created":{"date-parts":[[2003,9,3]],"date-time":"2003-09-03T10:06:58Z","timestamp":1062583618000},"page":"127-137","source":"Crossref","is-referenced-by-count":4,"title":["Development and Implementation of a Neural Knock Detector Using  Constructive Learning Methods"],"prefix":"10.1142","volume":"06","author":[{"given":"Stefan","family":"Ortmann","sequence":"first","affiliation":[{"name":"Institute for Microelectronic Systems,  Darmstadt University of Technology, Karlstr. 15,  64283 Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manfred","family":"Glesner","sequence":"additional","affiliation":[{"name":"Institute for Microelectronic Systems,  Darmstadt University of Technology, Karlstr. 15,  64283 Darmstadt, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218488598000112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T03:04:19Z","timestamp":1565147059000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218488598000112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,4]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1998,4]]}},"alternative-id":["10.1142\/S0218488598000112"],"URL":"https:\/\/doi.org\/10.1142\/s0218488598000112","relation":{},"ISSN":["0218-4885","1793-6411"],"issn-type":[{"value":"0218-4885","type":"print"},{"value":"1793-6411","type":"electronic"}],"subject":[],"published":{"date-parts":[[1998,4]]}}}