Namespaces | |
namespace | w2img |
Classes | |
class | w2img::LinearRBF |
A RadialBasisFunction neural network can learn the relationship of an output to an input. More... | |
class | w2img::LinearRBF::Strategy |
Abstract base class of strategies to find centers and influence radius from the training data itself. More... | |
class | w2img::LinearRBF::UniformStrategy |
Pass in the min, max and required number of centers for each of the components of the input vector to get a vector of uniformly spaced centers. More... | |
class | w2img::LinearRBF::DataDrivenUniformStrategy |
Uniformly spaced centers, but uses the minbounds and maxbounds computed from the data. More... | |
class | w2img::LinearRBF::KMeansStrategy |
Uses k-means clustering to choose the best k centers based on the training data. More... |