In this scenario, it is very useful to have visual environments where the user can interact with every radial basis function, modify them, inserting and ...
Nov 21, 2024 · This paper presents a didactic tool we have developed to facilitate the understanding of surface modelling concepts with ANNs in general and of ...
This paper presents a didactic tool we have developed to facilitate the understanding of surface modelling concepts with ANNs in general and of RBFNNs in ...
IAEME, 2019. The purpose of the paper is the development and experimental study of new fast learning algorithms for radial basis function networks in ...
Surface modelling with radial basis functions neural networks using virtual environments ... in Artificial Intelligence and Lecture Notes in Bioinformatics).
The study presents a new classification algorithm and a new online training mode used for learning the parameters of a Bayesian RBFNN (radial basis function ...
A new method for arbitrary 3d-object reconstruction in unknown environment is proposed in this paper. The implicit surface is reconstructed based on radial ...
People also ask
What is the radial basis function in a neural network?
What are the three types of layered in radial basis function neural networks?
Which radial basis function neural network uses dash function as the activation function?
In this study, a radial basis function neural network (RBFNN) model was developed and implemented in a multi-objective optimization procedure.
The surface roughness prediction was performed using a radial basis function (RBF) artificial neural network (ANN) and a Takagi–Sugeno––Kang (TSK) fuzzy model ...
Apr 21, 2024 · This paper addresses the problem of controlling multiple unmanned aerial vehicles (UAVs) cooperating in a formation to carry out a complex task such as surface ...