Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network

@inproceedings{Qin2012IdealCP,
  title={Ideal Chaotic Pattern Recognition Using the Modified Adachi Neural Network},
  author={Ke Qin and B. John Oommen},
  year={2012}
}
The benchmark of a chaotic Pattern Recognition (PR) system is the following: First of all, one must be able to train the system with a set of “training” patterns. Subsequently, as long as there is no testing pattern, the system must be chaotic. However, if the system is, thereafter, presented with an unknown testing pattern, the behavior must ideally be as follows. If the testing pattern is not one of the trained patterns, the system must continue to be chaotic. As opposed to this, if the… CONTINUE READING
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