RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution
Radial basis function networks are considered a machine learning tool that can be applied on a wide series of classification and regression problems proposed in various research topics of the modern world. However, in many cases, the initial training method used to fit the parameters of these models...
Saved in:
| Main Authors: | Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Software |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2674-113X/3/4/27 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting the Magnitude of Earthquakes Using Grammatical Evolution
by: Constantina Kopitsa, et al.
Published: (2025-07-01) -
Predicting the Damage of Urban Fires with Grammatical Evolution
by: Constantina Kopitsa, et al.
Published: (2025-05-01) -
Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks
by: Ioannis G. Tsoulos, et al.
Published: (2025-03-01) -
Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure
by: Ioannis G. Tsoulos, et al.
Published: (2024-09-01) -
An Innovative Hybrid Approach Producing Trial Solutions for Global Optimization
by: Vasileios Charilogis, et al.
Published: (2024-11-01)