分类的神经网络和统计观点

Proceedings of 13th International Conference on Pattern Recognition Pub Date : 1996-08-25 DOI:10.1109/ICPR.1996.547432

Lasse Holmström, P. Koistinen, Jorma T. Laaksonen, E. Oja

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引用次数: 5

摘要

讨论了基于神经网络和统计方法的模式分类，并提出了基于它们的数学原理的分类方法。然后在使用手写数字数据的案例研究中比较了典型的神经网络和统计分类器。

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Neural network and statistical perspectives of classification

Pattern classification using neural networks and statistical methods is discussed and a taxonomy based on their underlying mathematical principles is presented. Typical neural network and statistical classifiers are then compared in a case study using handwritten digit data.

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Proceedings of 13th International Conference on Pattern Recognition

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