개선된 컨텍스트기반 퍼지 클러스터링을 이용한 점진적 입자모델의 설계와 자동적인 지식생성

تصميم نموذج حبيبي تدريجي والتوليد الآلي للمعرفة باستخدام التجميع الضبابي المحسّن القائم على السياق

Clicks: 105
ID: 117950
1970
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #2 of 2 articles by views in 한국정보기술학회논문지

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
본 논문은 점진적 입자 모델을 설계하기 위해 선형회귀(LR: Linear Regression)와 국소 입자모델(LGM: Local Granular Model)을 결합한다. 여기서, 국소 입자모델은 자동적인 지식생성을 위해 밀도 피크의 빠른 탐색에 근거한 컨텍스트기반 퍼지 클러스터링(Context-based fuzzy clustering)에 의해 설계되어진다
تدمج هذه الورقة البحثية بين الانحدار الخطي (LR: Linear Regression) والنموذج الحبيبي الموضعي (LGM: Local Granular Model) لتصميم نموذج حبيبي تدريجي. حيث يُصمَّم النموذج الحبيبي الموضعي بواسطة التجميع الضبابي القائم على السياق (Context-based fuzzy clustering) والمستند إلى البحث السريع عن قمم الكثافة، وذلك بهدف التوليد التلقائي للمعرفة.
Reference Key
염찬욱1970한국정보기술학회논문지개선된 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors 염찬욱;곽근창;
Journal 한국정보기술학회논문지
Year 1970
DOI
DOI not found
URL
https://doi.org/10.14801/jkiit.2020.18.2.17
Keywords
개선된 컨텍스트기반 퍼지 클러스터링을 이용한 점진적 입자모델의 설계와 자동적인 지식생성 automatic knowledge generation and design of incremental granular model using improved context-based fuzzy clustering automatic knowledge generation;incremental granular model;local granular model;information granules; 염찬욱 곽근창 한국정보기술학회논문지(the journal of korean institute of information technology) 한국정보기술학회논문지 제18권 제2호(jkiit vol.18 no.2) 한국정보기술학회(korean institute of information technology)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.