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CM1 and CM4 are statistical channel models whose parameters are defined to match the actual measurement data.
The process is represented by a set of low-order local linear models whose parameters are identified using an online learning procedure.
We conclude that sparse data sets, such as VHF collar locations, can be used to fit movement models whose parameters could not be estimated directly from the data.
The resulting PSO-SVR model is compared to SVR models whose parameters are obtained through random search (RAND-SVR) and trial and error approach (TE-SVR).
At age 25 years, mean density of the three taxa, using the models whose parameters are given in Table 3, is estimated to be 461, 441 and 437 kg.m−3, for Leyland, Lusitanica and Macrocarpa, respectively.
If cross-sectional methods are used to estimate models whose parameters do in fact vary over time, the resulting estimation may fail to yield statistically valid results, fail to identify the true model parameters, and produce inefficient estimates (Bowen and Wiersema 1999).
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The model is validated with comparing the step responses with other two RC-network models whose parameter values are selected based on a certain criteria.
To minimize the influence of low probability over-parameterized models whose parameter estimates had escaped to large values, averages were formed as exponentials of model probability weighted averages of logarithms of the parameter estimates (for K = eΔ G / RT this corresponds to forming averages of Gibbs free energy changes).
As numerical applications, the study of a metallic beam with free layer damping treatment is completed using finite element procedures, where the damping material is modelized by an exponential model whose parameters are obtained from curve fitting to experimental data.
The considered model is the Pedestrian-A model whose parameters are given in Table 5.
Data for training SAN was obtained using a model whose parameters were calculated from experimental data.
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