A neural network approach for simulating stationary stochastic processes

A neural network approach for simulating stationary stochastic processes

Structural Engineering and Mechanics

Saved in:

書目詳細資料
Main Authors:	Beer, M., Spanos, P.D.
其他作者:	CIVIL ENGINEERING
格式:	Article
出版:	2014
主題:	Monte Carlo simulation Neural networks Stochastic processes
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/54477
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

相似書籍

Karhunen-Loéve expansion of stochastic processes with a modified exponential covariance kernel
由: Spanos, P.D., et al.
出版: (2014)

Distributed computing approaches for large-scale probit-based stochastic user equilibrium problems
由: Liu, Z., et al.
出版: (2014)

PERFORMANCE PREDICTION OF MULTILAYER ISOPOROUS MEMBRANE THROUGH PHYSICS-BASED NEURAL NETWORK FOR AIR FILTRATION APPLICATIONS
由: ONG SHI KE
出版: (2022)

Stochastic dominance in stock market
由: LEAN HOOI HOOI
出版: (2010)

Pricing multi-dimension American options by simulation
由: SUN JUNHUA
出版: (2010)

Monte Carlo simulation of light propagation in stratified water
由: DEWKURUN NARVADA
出版: (2010)

Raman Monte Carlo Simulation for light propagation for tissue with embedded objects
由: Periyasamy, Vijitha, et al.
出版: (2018)

Computational methods for a class of network models
由: Wang, J., et al.
出版: (2016)

Bayesian parameter inference for partially observed stopped processes
由: Jasra, A., et al.
出版: (2016)

Simulation of stochastic processes using Karhunen-Loeve expansion
由: HUANG HONGWEI
出版: (2010)

Monte Carlo simulation of surface segregation in nanoparticles
由: Jayaganthan, R., et al.
出版: (2014)

Assessing the least squares Monte-Carlo simulation in the stochastic volatility model
由: WANG YAJUN
出版: (2019)

Modeling and Monte Carlo simulation of TCDD transport in a river
由: Giri, B.S., et al.
出版: (2014)

Numerical solution of the modified and non-Newtonian Burgers equations by stochastic coded trees
由: Nguwi, Jiang Yu, et al.
出版: (2023)

Monte carlo simulation by code of MCNP and experimental check for measuring thickness of materials for the spec raltzrng system of MYO-101
由: Bui, Van Loat, et al.
出版: (2017)

EFFICIENT METHODS FOR TIME DOMAIN FATIGUE ANALYSIS OF OFFSHORE STRUCTURES
由: CHEN RUIFENG
出版: (2021)

Worm algorithm and its application
由: LUO JIE
出版: (2010)

Theoretical study of the behaviour of sputter-roughened surfaces
由: ONG SHEAU WEI
出版: (2010)

Applications on Monte Carlo simulation to some actuarial problem
由: Lopez, Ma. Regina F., et al.
出版: (1983)

Optimizing light delivery through fiber bundle in photoacoustic imaging with clinical ultrasound system: Monte Carlo simulation and experimental validation
由: Sivasubramanian, Kathyayini, et al.
出版: (2017)

Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion
由: Apaydin, M.S., et al.
出版: (2013)

Monte Carlo simulations and DSP application for optical parameter measurement
由: Nguyen, Tuan Anh, et al.
出版: (2017)

Discrete Micromechanics of Random Fibrous Architectures
由: ABHILASH ANJALY SUKUMARAN NAIR
出版: (2013)

Performance evaluation of a compartmented cooling coil using the Monte Carlo simulation approach
由: Maheswaran, U., et al.
出版: (2013)

Particle number per cell and scaling factor effect on accuracy of DSMC simulation of micro flows
由: Shu, C., et al.
出版: (2014)

Monte Carlo simulation of macroeconomic risk with a continuum of agents: The general case
由: Hammond, P.J., et al.
出版: (2011)

Analysing UTM tracking service performance in the detection of unmitigated UAS conflicts using Monte Carlo simulation
由: Quek, Zhi Hao, et al.
出版: (2023)

Neutron contamination of Varian Clinac iX 10 MV photon beam using Monte Carlo simulation
由: Yani, S., et al.
出版: (2018)

Risk management of Long Term Infrastructure Projects "PPP-BOT projects" by using Uncertainty, Probabilistic and Stochastic Methods and Models
由: Attarzadeh, M., et al.
出版: (2014)

Comparison of value-at-risk (VAR) using delta-gamma approximation with higher order approach
由: TEO LI HUI
出版: (2010)

A state-space partitioning method for pricing high-dimensional American-style options
由: Jin, X., et al.
出版: (2014)

Inference for a class of partially observed point process models
由: Martin, J.S., et al.
出版: (2016)

Multivariate stochastic volatility models based on generalized fisher transformation
由: CHEN, Han, et al.
出版: (2023)

Development of a computer program for oil reserve calculation using Monte Carlo simulation
由: Anuntasak Suksasilp
出版: (1992)

Supply chain performance measurement system: A Monte Carlo DEA-based approach
由: Wong, W.P., et al.
出版: (2014)

METAMODELING AND OPTIMIZATION WITH GAUSSIAN PROCESS MODELS FOR STOCHASTIC SIMULATIONS
由: WANG SONGHAO
出版: (2020)

Novel fiber-optic probe design for depth-resolved fluorescence measurements: Monte Carlo simulations
由: Jaillon, F., et al.
出版: (2014)

Monte Carlo Multiple-source Model for 6 mV Photon Beams from Varian Clinac iX Linear Accelerator
由: Thorfun Tapanya, et al.
出版: (2022)

Transition matrix Monte Carlo
由: Swendsen, R.H., et al.
出版: (2014)

Design of shading‐ and hotspot‐resistant shingled modules
由: Clement, Carlos Enrico, et al.
出版: (2021)