Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix

@inproceedings{Pham2012ControllingME,
  title={Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix},
  author={Hai-Trieu Pham and Yonggwan Won and Jung-Ja Kim},
  booktitle={ICUIMC},
  year={2012}
}
Multilayer Perceptron (MLP) neural network classifiers have been successfully applied to solve many classification problems. By learning process they reduce the cost function, generally defined by the total sum of errors (TSE) caused by each pattern. The classification result from this type of learning method can be biased to the number of patterns in the… CONTINUE READING