Journal ArticleDOI
Probabilistic neural networks
TLDR
A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.About:
This article is published in Neural Networks.The article was published on 1990-01-01. It has received 3772 citations till now. The article focuses on the topics: Probabilistic neural network & Activation function.read more
Citations
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Proceedings ArticleDOI
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
TL;DR: This paper employs probabilistic neural network (PNN) with image and data processing techniques to implement a general purpose automated leaf recognition for plant classification with an accuracy greater than 90%.
Journal ArticleDOI
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
Christos-Nikolaos Anagnostopoulos,Ioannis Anagnostopoulos,Vassili Loumos,Eleftherios Kayafas +3 more
TL;DR: A review in the related literature presented in this paper reveals that better performance has been reported, when limitations in distance, angle of view, illumination conditions are set, and background complexity is low.
Journal ArticleDOI
Fuzzy min-max neural networks. I. Classification
TL;DR: The fuzzy min-max classifier neural network implementation is explained, the learning and recall algorithms are outlined, and several examples of operation demonstrate the strong qualities of this new neural network classifier.
Journal ArticleDOI
Bankruptcy prediction for credit risk using neural networks: A survey and new results
TL;DR: Inspired by one of the traditional credit risk models developed by Merton (1974), it is shown that the use of novel indicators for the NN system provides a significant improvement in the (out-of-sample) prediction accuracy.
Fuzzy Min-Max Neural Networks-Part 1 : Classification
TL;DR: A neural network classifier that creates classes by aggregating several smaller fuzzy sets into a single fuzzy set class that can add new pattern classes on the fly, refine existing pattern classes as new information is received, and it uses simple operations that allow for quick execution is described.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Journal ArticleDOI
On Estimation of a Probability Density Function and Mode
TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
Book
Introduction to the Theory of Statistics
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI
Introduction to the Theory of Statistics.
Jacob Wolfowitz,A. M. Mood +1 more
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI