Parallel, self organizing, consensus neural networks

@article{Valafar1999ParallelSO,
  title={Parallel, self organizing, consensus neural networks},
  author={Homayoun Valafar and Faramarz Valafar and Okan K. Ersoy},
  journal={IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)},
  year={1999},
  volume={2},
  pages={1225-1228 vol.2}
}
A neural network architecture, the parallel self-organizing consensus neural net (PSCNN), is developed to improve performance and speed of such networks. The architecture has all the advantages of previous models such as self-organization and possesses new or superior characteristics such as input parallelism and decision making based on consensus. Due to the parallel properties of this network its parallel implementation on an N-cube machine was also studied. The architecture self organizes… CONTINUE READING