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
Identification of liquid-gas flow regime in a pipeline using gamma-ray absorption technique and computational intelligence methods
TL;DR: The usefulness of gamma ray absorption in combination with artificial intelligence methods for liquid-gas flow regime classification is confirmed, and all the methods give good recognition results for the types of flow examined.
Journal ArticleDOI
Evaluation of adaptive neural network models for freeway incident detection
TL;DR: Evaluating the adaptability of three promising NN models for incident detection in freeway traffic monitoring suggests that CPNN model has good potential for application in an operational automatic incident detection system for freeways.
Journal ArticleDOI
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization
TL;DR: The authors show the optimal nets to be consistent in the problem of nonlinear function approximation and in nonparametric classification in RBF networks and obtain the network parameters through empirical risk minimization.
Book ChapterDOI
Radial Basis Function Networks
Ke-Lin Du,Mallappa Kumara Swamy +1 more
TL;DR: The RBF network is a universal approximator, and it is a popular alternative to the MLP, since it has a simpler structure and a much faster training process.
Journal ArticleDOI
Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network
TL;DR: The proposed framework aims to distinguish forgeries from genuine signatures based on the image level through hybrid methods of discrete Radon transform (DRT), principal component analysis (PCA) and probabilistic neural network (PNN).
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