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IEEE2d
Zeroing Neural Network With Coefficient Functions and Adjustable Parameters for Solving Time-Variant Sylvester Equation - IEEE Xplore
To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...
IEEE2d
Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data - IEEE Xplore
Abstract: This paper deals with the tuning of the free parameters of the Support Vector Regression technique used for the retrieval of geo/bio-physical variables from remotely sensed data. We propose ...
SciELO18d
Evaluating performance and determining optimum sample size for regression tree and automatic linear modeling - SciELO - Brasil
Results of this study suggested that optimum sample size for Regression Tree is obviously larger than that of the Automatic Linear Modeling. While required minimum sample sizes for the ALM in order to ...