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|Table of Contents Multivariate Data Modeling Neural Networks Variable Selection Growing Neural Networks|
|See also: ANN, forward selection|
Growing neural networks very much resemble the forward selection technique with multiple linear regression. The principal goal of growing neural networks is to perform a feature selection during the growing process.
Growing networks are very demanding, as far as computing power is concerned,
since each single step of feature selection requires full training of the
neural network. In fact, growing networks are not feasible with training
techniques such as back propagation.
However, they can be computed with fast networks such as RBF
Last Update: 2006-Jšn-17