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Journal ArticleDOI

Probabilistic neural networks

Donald F. Specht
- 01 Jan 1990 - 
- Vol. 3, Iss: 1, pp 109-118
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.

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Citations
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Journal ArticleDOI

Attention Deficit Hyperactivity Disorder Diagnosis using non-linear univariate and multivariate EEG measurements: a preliminary study

TL;DR: Two classification algorithms for discriminating ADHD children from normal children using their resting state Electroencephalography (EEG) signals are proposed and entropy mapping as a useful tool was used to visually track changes of entropies in various brain regions.
Journal ArticleDOI

Automatic prediction of chronic obstructive pulmonary disease exacerbations through home telemonitoring of symptoms.

TL;DR: The proposed questionnaire and the designed automatic classifier could support the early detection of COPD exacerbations of benefit to both physicians and patients.
Journal ArticleDOI

Underwater Target Tracking Using Forward-Looking Sonar for Autonomous Underwater Vehicles.

TL;DR: An online processing framework based on forward-looking-sonar (FLS) images is described, and a novel tracking approach based on a Gaussian particle filter (GPF) to resolve persistent multiple-target tracking in cluttered environments is presented.
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A multi-agent reinforcement learning approach to robot soccer

TL;DR: A novel agent action prediction method based on the probabilistic neural network (PNN) is used to predict the actions of other agents and the application of presented method to robot soccer is studied.
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Classification of 7 monofloral honey varieties by PTR-ToF-MS direct headspace analysis and chemometrics.

TL;DR: Proton transfer reaction-time of flight-mass spectrometry, PTR-ToF-MS, coupled to chemometrics is presented as a successful tool in the classification of monofloral honeys, which should serve in fraud protection against mispresentation of the floral origin of honey.
References
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Journal ArticleDOI

Nearest neighbor pattern classification

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.

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.