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Design of Multilayer Perceptrons for Pattern Classifications
패턴인식 문제에 대한 다층퍼셉트론의 설계 방법
2010
The Journal of the Korea Contents Association
패턴인식 문제에 대한 다층퍼셉트론의 설계 방법
Multilayer perceptrons(MLPs) or feed-forward neural networks are widely applied to many areas based on their function approximation capabilities. When implementing MLPs for application problems, we should determine various parameters and training methods. In this paper, we discuss the design of MLPs especially for pattern classification problems. This discussion includes how to decide the number of nodes in each layer, how to initialize the weights of MLPs, how to train MLPs among various error
doi:10.5392/jkca.2010.10.5.099
fatcat:qqny67qstzhvfaxj5r6fqzesoi