Projection Pursuit Regression Vs Neural Network. Projection pursuit Regression 11. PPR vs neural networks NN Both projection pursuit regression and neural networks models project the input vector onto a one-dimensional hyperplane and then apply a nonlinear transformation of the input variables that are then added in a linear fashion.
Before moving onto neural networks let us start with a broader framework Projection Pursuit Regression PPR. GAM and Neural Net-. It is more general than standard stepwise and stagewise regression procedures does not require the definition of a metric in the predictor space and.
However there is a novel aspect.
Pursuit Regression with Application to Neural Networks Nathan Intrator Institute for Brain and Neural Systems Brown University Box 1843 Providence NO291 2 USA We present a novel classification and regression method that com- bines exploratory projection pursuit unsupervised training with pro-. Before moving onto neural networks let us start with a broader framework Projection Pursuit Regression PPR. Projection pursuit regression and discrimination model PPRD. A Comparison of Projection Pursuit and Neural Network Regression Modeling 1163 shifted will approximate a kernel up to a scaling to enforce unity area.
