Classification of 2-dimensional array patterns: Assembling many small neural networks is better than using a large one

@article{Chen2010ClassificationO2,
  title={Classification of 2-dimensional array patterns: Assembling many small neural networks is better than using a large one},
  author={Liang Chen and Wei Xue and Naoyuki Tokuda},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2010},
  volume={23 6},
  pages={770-81}
}
In many pattern classification/recognition applications of artificial neural networks, an object to be classified is represented by a fixed sized 2-dimensional array of uniform type, which corresponds to the cells of a 2-dimensional grid of the same size. A general neural network structure, called an undistricted neural network, which takes all the elements in the array as inputs could be used for problems such as these. However, a districted neural network can be used to reduce the training… CONTINUE READING

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