Add RBF Neural Network Algorithm (#12322) #12659
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✅ Added an algorithm
This PR adds an implementation of a Radial Basis Function Neural Network (RBFNN).
Key features:
Uses Gaussian radial basis functions
Applies KMeans clustering to initialize RBF centers
Trains output weights using least squares regression
This model is suitable for function approximation, classification, and regression tasks.
✅ Checklist:
I have read CONTRIBUTING.md.
This pull request is all my own work – I have not plagiarized.
I know that pull requests will not be merged if they fail the automated tests.
This PR only changes one algorithm file.
All new Python files are placed inside an existing directory.
All filenames are in all lowercase characters with no spaces or dashes.
All functions and variable names follow Python naming conventions.
All function parameters and return values are annotated with Python type hints.
All functions have doctests that pass the automated testing.
All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
📁 File Location:
RBFNN/radial_basis_function_network.py