A genetic constructive induction model
Ibrahim Kuscu · 2003
A hybrid model which uses genetic programming as part of a constructive induction system for supervised learning tasks is presented. The results of the experiments suggest that the model is an effective tool for increasing the generalisation performance of backpropagation in solving parity problems. The model also offers a potentially strong approach to solve problems of data mining.