Author: statcompute


In practice, GRNN is very similar to GAM (Generalized Additive Models) in the sense that they both shared the flexibility of approximating non-linear functions. In the example below, both GRNN...continue reading.

Partial Dependence Plot (PDP) of GRNN

The function grnn.margin() ( was my first attempt to explore the relationship between each predictor and the response in a General Regression Neural Network, which usually is considered the Black-Box...continue reading.

Merge MLP And CNN in Keras

In the post (, it was shown how to build a merge-layer DNN by using the Keras Sequential model. In the example below, I tried to scratch a merge-layer DNN...continue reading.

Dummy Is As Dummy Does

In the 1975 edition of “Applied multiple regression/correlation analysis for the behavioral sciences” by Jacob Cohen, an interesting approach of handling missing values in numeric variables was proposed with the...continue reading.

Improve GRNN by Weighting

In the post (, several advantages of General Regression Neural Network (GRNN) have been discussed. However, as pointed out by Specht, a major weakness of GRNN is the high computational...continue reading.