Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
Could a gene regulatory network in gut microbes have evolved its elaborate and tightly regulated molecular machinery only to pump out antibiotics indiscriminately? Researchers from the Institute of ...
1 State Key Laboratory of Massive Personalized Customization System and Technology, Qingdao, China 2 School of Control Science and Engineering, Shandong University, Jinan, China In the Pu’er tea ...
1 School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, China 2 Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, ...
Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...
ABSTRACT: Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the ...
A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior ...
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