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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Journal ArticleDOI
Probabilistic Neural Networks in Bankruptcy Prediction
TL;DR: A probabilistic neural network with fewer of these difficulties is proposed, using data from the U.S. oil and gas industry, to produce superior results for bankrupt companies.
Journal ArticleDOI
Using radial basis functions to approximate a function and its error bounds
TL;DR: A novel network called the validity index network (VI net), derived from radial basis function networks, fits functions and calculates confidence intervals for its predictions, indicating local regions of poor fit and extrapolation.
Journal ArticleDOI
Fault detection, classification and location for transmission lines and distribution systems: a review on the methods
TL;DR: A comprehensive review on the methods used for fault detection, classification and location in transmission lines and distribution systems is presented in this article, where fault detection techniques are discussed on the basis of feature extraction.
Journal ArticleDOI
Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques
TL;DR: NIR spectroscopy was found to be effective for gasoline classification purposes, when compared with nuclear magnetic resonance (NMR)Spectroscopy or gas chromatography (GC), and KNN, SVM, and PNN techniques for classification were find to be among the most effective ones.
Journal ArticleDOI
Invariant character recognition with Zernike and orthogonal Fourier–Mellin moments
Chao Kan,Mandyam D. Srinath +1 more
TL;DR: A new method of combining Orthogonal Fourier–Mellin moments (OFMMs) with centroid bounding circle scaling is introduced, which is shown to be useful in characterizing images with large variability.
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.
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