Radial Basis Function Networks (RBFN)
- Definition: The radial basis function (RBF) networks can be regarded as models which define radial basis functions that are very useful in the function approximation and classification approaches, being useful in complex input-output data modelling.
- Applications: It includes regression, pattern recognition, and system control methods for fast-tracking.
Types of Neural Networks
Artificial neural networks are a kind of machine learning algorithms that are created to reproduce the functions of the biological neural systems. Amongst which, networks like those which are a collection of interconnected nodes or neurons are the most prominent, which are organized into layers.In this article, we will discuss about the types of neural networks.