Abstract: The relationship between pattern classification using statistical decision theory and some feedforward neural networks are examined.
In the late 501s, the Rosenblatt's perceptron and the Widrow's Adaptive Linear Networks were regarded as major nonstatistical pattern recognition systems.
Both are now called artificial neural networks (ANN). The work on statistical pattern recognition which was also started in the late fifties made use of the ...
Although statistical pattern recognition and artificial neural networks were initially developed independently, they are now closely related.
The relationship between pattern classification using statistical decision theory and some feedforward neural networks are examined and the performance of ...
ANN AND SPR RELATIONSHIP. Evaluation of a Class of Pattern-Recognition Networks. L. Kanal. Links between Artificial Neural Networks (ANN) and Statistical.
This chapter discusses the ways in which artificial neural networks (ANNs) differ from the well-known paradigms of statistical pattern recognition (SPR).
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Although statistical pattern recognition and artificial neural networks were initially developed independently, they are now closely related.
Abstract: Although statistical pattern recognition and artificial neural networks were initially developed independently, they are now closely related.
Two methods for classification based on the Bayes strategy and nonparametric estimators for probability density functions are reviewed.