Evolutionary product unit based neural networks for regression

@article{MartnezEstudillo2006EvolutionaryPU,
  title={Evolutionary product unit based neural networks for regression},
  author={Alfonso C. Mart{\'i}nez-Estudillo and Francisco J. Mart{\'i}nez-Estudillo and C{\'e}sar Herv{\'a}s-Mart{\'i}nez and Nicol{\'a}s Garc{\'i}a-Pedrajas},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2006},
  volume={19 4},
  pages={477-86}
}
This paper presents a new method for regression based on the evolution of a type of feed-forward neural networks whose basis function units are products of the inputs raised to real number power. These nodes are usually called product units. The main advantage of product units is their capacity for implementing higher order functions. Nevertheless, the training of product unit based networks poses several problems, since local learning algorithms are not suitable for these networks due to the… CONTINUE READING