- Volume 16 Issue 4 Serial No. 71
Recently, the Artificial Neural Network(ANN) which can organize complex non-linear problems by effectively applying the parallel computational model that is similar to the human brain, was adopted in the wide department of technology and resulted in many successful applications. In this study, a more appropriate formal method is suggested for the preliminary structural design stage controlled merely by the designer's experience and intuition. To do so, this study proposes a multi-level ANN according to the general progressive structural design procedure, using Back-Propagation Algorithm (BP) and Genetic Algorithm (GA) for the ANN learning. The preliminary structural design of cable-stayed bridges was applied to illustrate the applicability of the study formulated as stated above, and the results of two different learning methods were compared.
Supported by : 전북대학교
- 신경회로망 최적학습을 위한 실수형 유전자알고리즘에 관한 연구 김시녕
- 2001년도 봄 학술발표 논문집 점진적 구조설계를 위한 다단계 신경망 김남희;장승필;이승철
- 1998년도 추계학술대회 학술발표 논문집 GA를 이용한 신경망 가중치의 최적화 문상우;공성곤
- 대한토목학회 논문집 v.22 no.6D 유전자 및 역전파알고리즘을 적용한 신경망연산에 의한 토지적합성분석 임승현;이근상;양옥진;조기성
- 장대교량의 설계 및 시공에 관한 연구 건기연95-SE-112-2 방명석(등)
- Proc. '93 IEEE Conf. on SMC, Le Touquet, France v.1 Genetic Algorithm like Learning Rule for Neural Network Aaron, R.L.;Aurali, F.B.;Margarita, C.G.
- J. Computing in civil Engineering. ASCE v.9 no.3 Modeling Initial Design Process Using rtificial Neural Network Mukherjee, Abhijit ;Deshpande, Jayant M.
- Proc. Int. Conf. Neural Networks and Genetic Algorithms MLP Optimal Selection Via Genetic Algorithms Arena, P.;Caponetto, R.;Fortuna, L.;Xibilia, M.G.
- Genetic Algorithms in Search, Optimization and Machine Learning Goldberg, D.E.
- Proc. 4th. Int. Conf. On Genetic Algorithms Temporal Processing with Recurrent Networks: An Evolutionary Approach Torreele, J.
- Neural Network and Fuzzy Logic Applications in C/C++ Welstead, S.T.
- Genetic Generation of Backpropagation Trained Neural networks Schiffmann, Wolfram;Mecklenburg, Klaus