A Radial Basis Function (RBF) is a real-valued function whose value depends only on the distance from a center point, typically in a multi-dimensional space. RBFs are used in various applications, including interpolation, function approximation, and machine learning, particularly in radial basis function networks and support vector machines. ### Key Characteristics: 1. **Distance-Based**: The function typically measures the distance from a point in space to a center point (also called a basis center).
Articles by others on the same topic
There are currently no matching articles.