The article examines the problems of constructing a model of recognition operators in conditions of a large dimension of the feature space. To solve this problem, an original approach based on local decision-making is proposed. Based on the proposed approach, a model of recognition operators of extensional type has been developed, based on the construction of local threshold functions. A parametric representation of the proposed recognition operators is given. The developed recognition operators can improve recognition accuracy and expand the range of practical problems solved using recognition algorithms.
| Mualliflar | Mirzayev, N.M. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2024-04-09 |
| Jild | 7 |
| Son | 1 |
| Betlar | 94-101 |
| Til | Rus |
| DOI | 10.62132/ijdt.v7i1.169 |
DOI: 10.62132/ijdt.v7i1.169 · Maqolaning asl sahifasi
pattern recognition, recognition operator, representative features, subset of objects, threshold function, basic recognition operator, preferred recognition operator, timsollarni tanib olish, tanib olish operatori, reprezentativ belgilar, obyektlarning qism-toʻplami, boʻsagʻaviy funksiya, tayanch tanib olish operatori, afzal tanib olish operatori
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