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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.
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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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Patent

Machine learning apparatus and method for image searching

TL;DR: In this paper, a computer module is interactively trained to recognize patterns of spectral or textural features in imagery, and a set of user indicated examples and counter examples form the inputs to a machine learning program called Functional Template Learning.
Journal ArticleDOI

Bearing fault detection using artificial neural networks and genetic algorithm

TL;DR: A study to compare the performance of bearing fault detection using three types of artificial neural networks (ANNs), namely, multilayer perceptron (MLP), radial basis function (RBF) network, and probabilistic neural network (PNN).
Journal ArticleDOI

DSP-Based Probabilistic Fuzzy Neural Network Control for Li-Ion Battery Charger

TL;DR: In this article, a DSP-based probabilistic fuzzy neural network (PFNN) controller was proposed to control a two-stage DC charger for constant-current and constant-voltage charging.
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Municipal credit rating modelling by neural networks

TL;DR: The paper presents the modelling possibilities of neural networks on a complex real-world problem, i.e. municipal credit rating modelling, and shows that the rating classes assigned to bond issuers can be classified with a high accuracy rate using a limited subset of input variables.
Journal ArticleDOI

Automated oral cancer identification using histopathological images: a hybrid feature extraction paradigm.

TL;DR: A novel integrated index called Oral Malignancy Index (OMI) is proposed using the HOS, LBP, LTE features, to diagnose benign or malignant tissues using just one number to help the oral onco-pathologists to screen the subjects rapidly.
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.