Application of the space-for-time substitution method in validating long-term biomass predictions of a forest landscape model.
Jun MaXiangming XiaoRencang BuRussell B. DoughtyYuanman HuBangqian ChenXiangping LiBin ZhaoPublished in: Environ. Model. Softw. (2017)
Keyphrases
- long term
- modeling method
- mathematical model
- statistical model
- prior knowledge
- evaluation method
- network model
- markov model
- computational model
- optimization model
- probabilistic model
- objective function
- study proposes
- detection method
- short term
- cost function
- high accuracy
- parameter space
- classification method
- sensitivity analysis
- test data
- high order
- em algorithm
- linear model
- hybrid model
- regression analysis
- optimization method
- linear regression
- gaussian distribution
- spatial structure
- theoretical analysis
- closed form
- dynamic programming
- significant improvement
- statistical methods
- energy function
- prior information
- clustering method
- bayesian framework
- analytical model
- bp neural network
- learning algorithm
- monte carlo simulation
- preprocessing
- image sequences
- feature set
- genetic algorithm
- similarity measure
- video sequences
- input data
- parameter estimation
- kalman filter