相关文献
】MOHANTY J R，VERMA B B，RAY P K，et a1．
Application of artificial neural network for fatigue life prediction under interspersed mode一1 spike overload[J] Journal ofTesting andEvaluation，2010，38(2)：96-101．
BEZAZlA，PIERCE SG，WORDEN K，cta1．Fatigue life prediction of sandwich composite materials under flexural tests using a Bayesian trained artificial neural network[J]．International Journal of Fatigue，2007，
29(4)：738—747．
KWON Y I，LIM B S．A study of creep-fatigue life
prediction using an artificial neural network[J]．Metals and Materials International，200l，7(4)：3 ll一3 17．
LI J W，PENG Z F．Artificial neural network prediction
of creep rupture life of nickel base single crystal super'alloys[j]．Aeta Metallurgica Sinica，2004，40(3)：
257-262．
】LIAO X L，XUW F，GAO Z Q．Application ofartificial neural network to forecast the tensile fatigue life of ·carbon material[C]H 7th International Conference on Fracture and Damage Mechanics，September 9-1 1，
2008，Seoul，Korea．Stafa-Zurich：Trans．Tcch．
Publications L1rD，2008：533．536．
】NATARAJAN U，PER／ASAMY VM，SARAVANAN&
Application of particle swarln optimisation in artificial neural network for the prediction of tool life[J]． International Journal of Advanced Manufacturing
Technology，2007，31(9-10)：871-876．
】PLEUNE T T，CHOPRA O IC Using artificial neural networks to predict the fatigue life of carbon and low·alloy steels[J]．Nuclear Engineering and Design，
2000，197(1—2)：1-12．
】SEKERCIOGLU T，KOVAN v．Prediction of static shear force and fatigue life of adhesive joints by artificial neural network[J]．Kovove Materialy-Metallic Materials，2008，46(1)：51—57．
SOHN I，BAE D．Fatigue life prediction ofspot—weldedjoint by strain energy density factor using artificial neural network[C]／／4th International Conference Oll Fracture and Strength ofSolids，August 16-18，2000。 Pohang，Korea．Stafa-Zurich：Trans．Tech．Publications
Ur】)，2000：957．962．
】Slu[NIVASAN VS，NAGESHAA，Ⅵ也SAN M，et a1． Artificial neural network approach to low cycle fatigue and creep-fatigue interaction life prediction of modified 9CrolMo ferritic steel[J]．Transactiom of the Indian Institute ofMetals，2005，58(2．31：261．267．
】SRNI、伪SANVS，Ⅵ虬SANA，RAO KB S，etal．Low cycle fatigue and creep-fatigue interaction behavior of 316L(N)stainless steel and life prediction by artificial neural network approach[J]．International Journal of Fatigue，2003，25(12)：1327-1338．
VAssl0POuLOS A P， GEORGoPOU】LoS E F。
DIONYSOPOULOS V Artificial neural networks in
spectrmn fatigue life prediction of composite materials[J]．International Journal of Fatigue，2007，
29(1)：20—29．
分类
back propagation multi-layer network
radial basis functions network RBF
对比文献
Review and application of Artificial Neural Networks models in reliability analysis of steel structures
