000			00375nam a2200133Ia 4500
999			_c153792 _d153792
020			_a1599041006
040			_cCUS
082			_a624.1762 _bLAG/I
100			_aLagaros, Nikos D
245		0	_aIntelligent computational paradigms in earthquake engineering/ _cNikos D Lagaros; Yiannis Tsompanakis
260			_aLondon; _bIDEA Group, _c2007.
300			_a444 p.
505			_aScction 1: Structural Optimization Applications Chapter I Improved Seismic Design Procedures and Evolutionary Tools Chapter II Applying Neural Networks for Performance-Based Design in EarthquakeEngineering Chapter III Evolutionary Seismic Design for Optimal Performance Chapter IV Optimal Reliability-Based Design Using Support Vector Machines and Artificial Life Algorithms Chapter V Optimum Design of Structures for Earthquake Induced Loading by Wavelet Neural Network Chapter VI Developments In Structural Optimization and Applications to Intelligent Structural Vibration Control Section II: Structural Assessment Applications Chapter VII Neuro-Fuzzy Assesment of Building Damage and Safety After an Earthquake Chapter VIII Learning Machines for Structural Damage Detection Chapter IX Structural Assessment of RC Constructions and Fuzzy Expert Systems Chapter X Life-Cycle Cost Evaluation of Bridge Structures Considering Seismic Risk Chapter XI Soft Computing Techniques in Probabilistic Seismic Analysis of Structures Section III: Structural Identification Applications Chapter XII Inverse Analysis of Weak and Strong Motion Downhole Array Data: A Hybrid Optimization Algorithm Chapter XIV Neural Network-Based Identification of Structural Parameters in Multistory Buildings Chapter XV Application of Neurocomputing to Parametric Identification Using Dynamic Responses Chapter XVI Neural Networks for the Simulation and Identification Analysis of Buildings Subjected to Paraseismic Excitations About the Authors Index
650			_aEarthquake engineering -- Mathematical models.
650			_aNeural networks (Computer science)
650			_aTECHNOLOGY & ENGINEERING -- Civil -- Earthquake.
700			_aTsompanakis, Yiannis
942			_cWB16