지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
2005
Abstract
1. Introduction
2. Fuzzy Set-based Polynomial Neural Networks
3. Information Granulation through Hard C-Means clustering algorithm
4. Genetic Optimization of FPNN
5. Simulation
6. Concluding remarks
감사의 글
References
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
Design of Fuzzy Set-based Polynomial Neural Networks involving Information Granules with the aid of multi-population Genetic Algorithms
제어로봇시스템학회 국제학술대회 논문집
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Evolutionary Optimized Fuzzy Set-based Polynomial Neural Networks Based on Classified Information Granules
대한전기학회 학술대회 논문집
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An Optimization of Polynomial Neural Networks using Genetic Algorithm
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Evolutionary Design Methodology of Fuzzy Set-based Polynomial Neural networks with the Information Granule
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진화이론을 이용한 최적화 Set-based Polynomial Neural Networks에 관한 연구
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Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons
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정보 입자기반 연속전인 최적화를 통한 자기구성 퍼지 다항식 뉴럴네트워크 : 설계와 해석
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퍼지뉴럴 네트워크와 자기구성 네트워크에 기초한 적응 퍼지 다항식 뉴럴네트워크 구조의 설계
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