A set of intervals valued symbolic feature vector is then used to represent the class. Each interval value (symbolic data) is computed using mean and standard deviation of the corresponding feature ...

This is the main project repository for the paper Symbolically Synthesized Neural Networks:. Abstract: Neural networks adapt very well to distributed and continuous representations, but struggle to ...