A neural network to predict spectral acceleration

[1]  Ali Farhadi,et al.  Assessing Predictive Capability of Ground‐Motion Models for Probabilistic Seismic Hazard in Iran , 2019, Bulletin of the Seismological Society of America.

[2]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[3]  Kemal Günaydın,et al.  Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey , 2008 .

[4]  F. Scherbaum,et al.  Model Selection in Seismic Hazard Analysis: An Information-Theoretic Perspective , 2009 .

[5]  Mehdi Mousavi,et al.  Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes , 2016 .

[6]  Amir Hossein Gandomi,et al.  A hybrid computational approach to derive new ground-motion prediction equations , 2011, Eng. Appl. Artif. Intell..

[7]  BrianS-J. Chiou,et al.  An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra , 2008 .

[8]  Mehdi Mousavi,et al.  A hybrid computational intelligence approach to predict spectral acceleration , 2019, Measurement.

[9]  Hamza Güllü,et al.  A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey , 2007 .

[10]  J. Bommer,et al.  PREDICTION OF HORIZONTAL RESPONSE SPECTRA IN EUROPE , 1996 .

[11]  Ali Farhadi,et al.  Assessing the Applicability of Ground‐Motion Models for Induced Seismicity Application in Central and Eastern North America , 2018, Bulletin of the Seismological Society of America.

[12]  Amir H. Gandomi,et al.  Optimum design of reinforced earth walls using evolutionary optimization algorithms , 2019, Neural Computing and Applications.

[13]  W. B. Joyner,et al.  Equations for Estimating Horizontal Response Spectra and Peak Acceleration from Western North American Earthquakes: A Summary of Recent Work , 1997 .

[14]  H. Moayedi,et al.  Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile , 2018, International Journal of Geomechanics.

[15]  Madhar Taamneh,et al.  Severity Prediction of Traffic Accident Using an Artificial Neural Network , 2017 .

[16]  Amir H. Gandomi,et al.  Retaining wall optimization using interior search algorithm with different bound constraint handling , 2017 .

[17]  Gang Wang,et al.  Empirical correlations between cumulative absolute velocity and spectral accelerations from NGA ground motion database , 2012 .

[18]  Mehdi Mousavi,et al.  Boundary Constraint Handling Affection on Slope Stability Analysis , 2015 .

[19]  H. Zafarani,et al.  Testing Ground‐Motion Prediction Equations against Small‐to‐Moderate Magnitude Data in Iran , 2017 .

[20]  Gang Wang,et al.  Intra‐Event Spatial Correlations for Cumulative Absolute Velocity, Arias Intensity, and Spectral Accelerations Based on Regional Site Conditions , 2013 .

[21]  K. Campbell,et al.  NGA Ground Motion Model for the Geometric Mean Horizontal Component of PGA, PGV, PGD and 5% Damped Linear Elastic Response Spectra for Periods Ranging from 0.01 to 10 s , 2008 .

[22]  Ye Lu,et al.  Concrete crack detection with handwriting script interferences using faster region‐based convolutional neural network , 2019, Comput. Aided Civ. Infrastructure Eng..

[23]  Amir H. Gandomi,et al.  Optimum design of shallow foundation using evolutionary algorithms , 2020, Soft Comput..

[24]  Amir H. Gandomi,et al.  Construction Cost Minimization of Shallow Foundation Using Recent Swarm Intelligence Techniques , 2018, IEEE Transactions on Industrial Informatics.

[25]  David Lehký,et al.  Neural network ensemble-based parameter sensitivity analysis in civil engineering systems , 2017, Neural Computing and Applications.

[26]  Steven L. Kramer.  Performance-based design methodologies for geotechnical earthquake engineering , 2013, Bulletin of Earthquake Engineering.

[27]  Demetris Stathakis,et al.  How many hidden layers and nodes? , 2009 .

[28]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[29]  Leon A. Gatys,et al.  A Neural Algorithm of Artistic Style , 2015, ArXiv.

[30]  T. Kerh,et al.  Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion , 2002 .

[31]  Tienfuan Kerh,et al.  Neural network estimation of ground peak acceleration at stations along Taiwan high-speed rail system , 2005, Eng. Appl. Artif. Intell..

[32]  I. Ahmad,et al.  Neural Network Based Attenuation of Strong Motion Peaks in Europe , 2008 .

[33]  David A. Roke,et al.  Optimization of retaining wall design using evolutionary algorithms , 2017 .

[34]  Kaveh Ostad-Ali-Askari,et al.  Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran , 2017 .

[35]  Mehdi Mousavi,et al.  Slope stability analysis using evolutionary optimization techniques , 2017 .

[36]  Ali Firat Cabalar,et al.  Modelling damping ratio and shear modulus of sand-mica mixtures using genetic programming , 2009, Expert Syst. Appl..

[37]  Nicolas Luco,et al.  Structure-Specific Scalar Intensity Measures for Near-Source and Ordinary Earthquake Ground Motions , 2007 .

[38]  N. Abrahamson,et al.  Summary of the Abrahamson & Silva NGA Ground-Motion Relations , 2008 .

[39]  S. Lange,et al.  [Linear regression and correlation]. , 2007, Deutsche medizinische Wochenschrift.

[40]  Amir H. Gandomi,et al.  Automating pseudo-static analysis of concrete cantilever retaining wall using evolutionary algorithms , 2018 .

[41]  Hui Li,et al.  Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring , 2018, Structural Control and Health Monitoring.

[42]  D. Legates,et al.  Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation , 1999 .