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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 ...