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Machine learningCase-based reasoning

Unyambulishaji wa Kesi (CBR)

Unyambulishaji wa kesi hutatua tatizo jipya kwa kurejesha matatizo sawa yaliyotatuliwa hapo awali na kurekebisha suluhisho zake, badala ya kuamua kutoka kwa kanuni za msingi au mfumo wa takwimu uliofunzwa. Umeandaliwa rasmi kama mzunguko wa Rejesha-Tumia-Rekebisha-Hifadhi (Retrieve-Reuse-Revise-Retain) na Aamodt na Plaza mwaka 1994 na kuenezwa na Janet Kolodner, CBR huakisi jinsi wataalamu wa binadamu katika tiba, sheria, na uhandisi wanavyoamua kwa kufananisha kutoka kwa kesi zilizokumbukwa, na hujifunza kwa kuhifadhi kila kesi iliyotatuliwa hivi karibuni.

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Vyanzo

  1. Aamodt, A., & Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications, 7(1), 39–59. DOI: 10.3233/AIC-1994-7104
  2. Kolodner, J. L. (1992). An introduction to case-based reasoning. Artificial Intelligence Review, 6(1), 3–34. DOI: 10.1007/BF00155578

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Case-Based Reasoning (CBR). ScholarGate. https://scholargate.app/sw/soft-computing/case-based-reasoning

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Imerejelewa na

ScholarGateCase-Based Reasoning (Case-Based Reasoning (CBR)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/soft-computing/case-based-reasoning · Seti ya data: https://doi.org/10.5281/zenodo.20539026