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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.4
- 수록면
- 227 - 234 (8page)
- DOI
- 10.7232/JKIIE.2022.48.2.227
이용수
DBpia Top 10%동일한 주제분류 기준으로최근 2년간 이용수 순으로 정렬했을 때
해당 논문이 위치하는 상위 비율을 의미합니다.
이 논문의 연구 히스토리 (3)
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
Due to a number of local minimums, the gradient descent methods have difficulties in searching for the optimal weights of artificial neural networks (ANNs). To resolve this problem, recently, a number of scholars have conducted studies that utilize metaheuristics to optimize the weights of ANNs. Particularly, the swarm intelligence algorithm which is one of the metaheuristics has shown great potential in previous studies. In this study, we propose the hybrid metaheuristic algorithm that effectively optimizes the weight of ANNs by combining particle swarm optimization (PSO) and grey wolf optimizer (GWO), both of which are swarm intelligence algorithms. In the search process, the proposed algorithm resolves the convergence instability in the validation dataset using the swarm memory that was inspired by the habit of remembering the environment in which the swarm was suitable for survival. Numerical experiments demonstrate the proposed algorithm outperforms the existing swarm intelligence algorithms, stochastic gradient descent, and Adam Optimizer in terms of classification accuracy.
목차
1. 서론
2. 선행 연구
3. 제안 알고리즘
4. 실험
5. 결론
참고문헌
참고문헌 (25)
참고문헌 신청
Dauphin, Y., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., and Bengio, Y. (2014), Identifying and attacking the saddle point problem in high-dimensional non-convex optimization, arXiv preprint, arXiv: 1406.2572.
Dhiman, G. and Kaur, A. (2018), Optimizing the design of airfoil and optical buffur problems using spotted hyena optimizer, Designs, 2(3), 28.
Dua, D. and Graff, C. (2019), UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. lrvine, CA: Univercity of California, School of Information and Computer Science.
Dorigo, M., Birattari, M., and Stutzle, T. (2006) Ant colony optimization, IEEE Computational Intelligence Magazine, 1(4), 28-39.
Gundu, V. and Simon, S. P. (2021), PSO-LSTM for short term forecast of heterogeneous time series electricity price signals, Journal of Ambient Intelligence and Humanized Computing, 12(2), 2375-2385.
Dua, D. and Graff, C. (2019), UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. lrvine, CA: Univercity of California, School of Information and Computer Science.
Dorigo, M., Birattari, M., and Stutzle, T. (2006) Ant colony optimization, IEEE Computational Intelligence Magazine, 1(4), 28-39.
Gundu, V. and Simon, S. P. (2021), PSO-LSTM for short term forecast of heterogeneous time series electricity price signals, Journal of Ambient Intelligence and Humanized Computing, 12(2), 2375-2385.
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
An Improved Particle swarm optimization Algorithm for complex nonlinear Problems
한국통신학회 학술대회논문집
2022 .02
-
전역 수렴성능이 개선된 Particle Swarm Optimization 알고리즘 설계
대한전기학회 학술대회 논문집
2015 .11
-
임베디드 군집 시스템의 상호작용 기반 간접적 군집 구성 제어
대한임베디드공학회논문지
2019 .01
-
Particle Swarm Optimization 을 이용한 적층순서 최적화
대한기계학회 춘추학술대회
2016 .04
-
An integrated particle swarm optimizer for optimization of truss structures with discrete variables
Structural engineering and mechanics : An international journal
2017 .01
-
Particle Swarm Optimization for DFE Structure Optimization with Neural Fitness Evaluation
대한전자공학회 학술대회
2024 .06
-
비선형 최적화 알고리즘을 활용한 아크 용접 열원 추정에 관한 연구-Part II. Particle Swarm Optimization 적용
한국정밀공학회 학술발표대회 논문집
2020 .09
-
Voltage Stability Prediction on Power System Network via Enhanced Hybrid Particle Swarm Artificial Neural Network
Journal of Electrical Engineering & Technology
2015 .05
-
Learning an Artificial Neural Network Using Dynamic Particle Swarm Optimization–Backpropagation : Empirical Evaluation and Comparison
Journal of information and communication convergence engineering
2015 .06
-
대규모 군집을 위한 3 차원 경로계획 알고리즘에 대한 연구
제어로봇시스템학회 논문지
2019 .12
-
Damage assessment of composite structures using Particle Swarm Optimization
International Journal of Aerospace System Engineering
2015 .12
-
An Improved PSO Algorithm for the Classification of Multiple Power Quality Disturbances
JIPS(Journal of Information Processing Systems)
2019 .01
-
Introduction of optimization algorithm and artificial intelligence application for performance evaluation of construction materials
대한토목학회 학술대회
2019 .10
-
Modeling air quality index using optimized neuronal networks inspired by swarms
Environmental Engineering Research
2021 .12
-
UAV Surveillance Trajectory Planning using Particle Swarm Optimization Algorithm
한국통신학회 학술대회논문집
2018 .06
-
대규모 군집을 위한 3차원 경로계획 알고리즘
제어로봇시스템학회 국내학술대회 논문집
2019 .05
-
Damage detection in structures using Particle Swarm Optimization combined with Artificial Neural Network
Smart Structures and Systems, An International Journal
2021 .01
-
A New Approach Based on Particle Swarm Algorithm to Solve the Location-Routing Problem with Simultaneous Pickup and Delivery
Industrial Engineering & Management Systems
2021 .06
-
칼만필터를 이용한 군집로봇의 위치 및 위상 최적 추정 방법
제어로봇시스템학회 논문지
2022 .06
-
유전 알고리즘과 PSO를 활용한 무인기 군집의 작업할당 최적화 비교
한국항공우주학회 학술발표회 초록집
2022 .04
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0