Constructive Feedforward Neural Networks for Regression Problems: a Survey

@inproceedings{Kwok1995ConstructiveFN,
  title={Constructive Feedforward Neural Networks for Regression Problems: a Survey},
  author={SurveyTin-Yau Kwok and Dit-Yan Yeung},
  year={1995}
}
In this paper, we review the procedures for constructing feedforward neural networks in regression problems. While standard back-propagation performs gradient descent only in the weight space of a network with xed topology, constructive procedures start with a small network and then grow additional hidden units and weights until a satisfactory solution is found. The constructive procedures are categorized according to the resultant network architecture and the learning algorithm for the network… CONTINUE READING
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