Design of the base isolation system with artificial neural network models
暂无分享,去创建一个
[1] Samer Barakat,et al. Multiple regression modeling of natural rubber seismic-isolation systems with supplemental viscous damping for near-field ground motion , 2013 .
[2] Naci Caglar,et al. Neural networks in 3-dimensional dynamic analysis of reinforced concrete buildings , 2008 .
[3] H. Worthington. Seismic Design for Nuclear Power Plants , 1971 .
[4] Murat Ceylan,et al. AN ANN APPROACHES ON ESTIMATING EARTHQUAKE PERFORMANCES OF EXISTING RC BUILDINGS , 2012 .
[5] D. R. Baughman,et al. Neural Networks in Bioprocessing and Chemical Engineering , 1992 .
[6] R. S. Jangid,et al. Base isolation for near‐fault motions , 2001 .
[7] Xu Wang,et al. Spiking neural network-based target tracking control for autonomous mobile robots , 2015, Neural Computing and Applications.
[8] Jin-Hoon Jeong,et al. Effect of lead rubber bearing characteristics on the response of seismic-isolated bridges , 2008 .
[9] Mahmut Bilgehan,et al. A comparative study for the concrete compressive strength estimation using neural network and neuro-fuzzy modelling approaches , 2011 .
[10] K. N. G. Fuller,et al. Design and Testing of High Damping Rubber Earthquake Bearings for Retrofit Project in Armenia , 2000 .
[11] Aslam Muhammad,et al. An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting , 2014, Neural Computing and Applications.
[12] Ahmad Taher Azar,et al. Linguistic Hedges Fuzzy Feature Selection for Differential Diagnosis of Erythemato-Squamous Diseases , 2012, SOFA.
[13] Mônica Batista Leite,et al. Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks , 2013 .
[14] Murat Ceylan,et al. Determining Earthquake Performances of Existing Reinforced Concrete Buildings by Using ANN , 2015 .
[15] Armando Cisternas,et al. Earthquake hazard and seismic risk reduction , 2000 .
[16] A. T. C. Goh,et al. Back-propagation neural networks for modeling complex systems , 1995, Artif. Intell. Eng..
[17] Paki Turgut,et al. Artificial Neural Network Approach to Predict Compressive Strength of Concrete through Ultrasonic Pulse Velocity , 2010 .
[18] J. Olden,et al. A new R2-based metric to shed greater insight on variable importance in artificial neural networks , 2015 .
[19] Robert Jankowski,et al. Nonlinear Rate Dependent Model of High Damping Rubber Bearing , 2003 .
[20] Ravindra Nagar,et al. Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks , 2015, Expert Syst. Appl..
[21] M. Hakan Arslan,et al. An evaluation of effective design parameters on earthquake performance of RC buildings using neural networks , 2010 .
[22] A. Arias. A measure of earthquake intensity , 1970 .