Neural network modelling with input uncertainty: theory and application

Keyphrases

• Neural Network Model 100%
• Noise Processes 100%
• Input Uncertainty 100%
• Uncertainty Theory 100%
• Input Noise 66%
• Neural Network 33%
• Bayesian Error 33%
• Hidden Variables 33%
• Markov Chain Monte Carlo Methods 33%
• Bayesian Neural Network 33%
• Laplace Approximation 33%
• Radar Backscatter 33%
• Bayesian Inference Method 33%
• Network Weight 33%
• Errors-in-variables 33%
• Neural Network Framework 33%
• Forward Model 33%
• Accurate Model 33%
• Satellite Radar 33%
• Sine Wave 33%
• Uncertain Data 33%
• Real Problems 33%
• Wave Problems 33%
• Ocean Vector Winds 33%

Engineering

• Input Uncertainty 100%
• Noise Process 100%
• Input Noise 66%
• Input Data 33%
• Error Bar 33%
• Ocean Surface 33%
• Forward Model 33%
• Satellite Radar 33%