Divide and conquer algorithms for constructing neural networks architectures

In this paper two algorithms for the construction of feedforward neural network architectures are discussed. Their close relation with a special class of decision tree classifiers is commented. Finally, the performance of the algorithms is assessed on a complex cytological pattern classification application.