Projection Pursuit Regression And Neural Networks. The method generates a derived variable from linear functions of the predictors. Learning today Neural nets Projection pursuit.
Feed forward neural networks are compared with standard and new statistical classification procedures for the classification of proteins. It has a form of additive model of the derived features rather than the inputs themselves. Learning today Neural nets Projection pursuit.
Thus both follow the same steps to.
It has a form of additive model of the derived features rather than the inputs themselves. As we make clear in this section they are just nonlinear statistical models much like the projection pursuit regression model discussed above. A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network trainingAnnals of Statistics 20 608613. In particular a hybrid combination of supervised and unsupervised artificial neural network ANN is de.
