An extended approach of a prediction method for the deterministic propagation path loss model.
Ju Yeon HongChung-Sup KimHyuk-Je KimJong-Su LimYoung-Jun ChongPublished in: ICTC (2019)
Keyphrases
- prediction model
- mathematical model
- probabilistic model
- predictive model
- statistical model
- gaussian distribution
- evaluation method
- objective function
- theoretical analysis
- prior information
- high order
- input data
- cost function
- study proposes
- bp neural network
- prior knowledge
- parameter estimation
- linear regression model
- tree structure
- evaluation model
- monte carlo simulation
- closed form
- optimization method
- classification algorithm
- sensitivity analysis
- neural network model
- linear model
- hybrid model
- regression analysis
- markov model
- optimization model
- neural network
- test data
- classification method
- energy function
- modeling method
- high accuracy
- probability distribution
- dynamic programming
- pairwise
- kalman filter
- reconstruction method
- prediction algorithm
- multiple linear regression
- linear regression
- parameter space
- statistical methods
- regression model
- model selection
- markov chain
- significant improvement
- similarity measure
- feature selection