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
Paddy diseases identification with texture analysis using fractal descriptors based on fourier spectrum
TL;DR: In this paper, the authors used fractal descriptors to analyze the texture of the lesion images extracted manually and then used in classification process using probabilistic neural networks to identify the four major paddy diseases.
Journal ArticleDOI
A new methodology for automated diagnosis of mild cognitive impairment (MCI) using magnetoencephalography (MEG).
TL;DR: The usefulness and effectiveness of the proposed methodology are validated using the sensed MEG data obtained experimentally from 18 MCI and 19 control patients.
Journal ArticleDOI
Neural networks for monitoring of engine condition data
TL;DR: Neural networks are being tested to monitor aircraft engine condition data, in addition to current techniques and newer methods such as knowledge-based systems or case-based reasoning, in order to increase safety and assist in aircraft maintenance activity.
Journal ArticleDOI
Hand gesture recognition using low-budget data glove and cluster-trained probabilistic neural network
Ognjan Luzanin,Miroslav Plančak +1 more
TL;DR: The proposed gesture recognition system uses clustering ensemble to reduce the training data set without significant deterioration of the quality of training, and is efficiently performed using three types of clustering algorit...
Journal ArticleDOI
Model combination for credit risk assessment: A stacked generalization approach
TL;DR: This study explores the combination of different classification methods in developing efficient models for credit risk assessment, illustrating that combined models can outperform individual models forCredit risk analysis.
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