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 ...

ABSTRACT: It takes more time and is easier to fall into the local minimum value when using the traditional full-supervised learning algorithm to train RBFNN. Therefore, the paper proposes one ...

In this work, we introduce a new method ability radial basic function-partial least square (RBF-PLS) with high accuracy and precision in QSPR studies. Three quantitative structure-propertty ...

Cucumber cultivation faces two pressing challenges: balancing shoot architecture with drought tolerance. New research has uncovered that the CsTIE1–CsAGL16 module serves as a pivotal regulator in ...

Hi, thank you for this great package! I was wondering whether it would be straightforward to combine this package with Lux.jl to build a radial basis function network (RBFN). Has anyone tried that?

“What are you willing to do, really willing to do, to be a Rainmaker?” 1997 gave audiences the film adaptation of “The Rainmaker,” John Grisham’s well-received novel about a young lawyer named Rudy ...

Academician Workstation, Jiangxi University of Chinese Medicine, Nanchang 330004, Jiangxi, China ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...