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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Book ChapterDOI
Minutiae-based Fingerprint Extraction and Recognition
TL;DR: Due to its distinctiveness, compactness, and compatibility with features used by human fingerprint experts, minutiae-based representation has become the most widely adopted fingerprint representation scheme.
Journal ArticleDOI
A probabilistic neural network applied in monitoring tool wear in the end milling operation via acoustic emission and cutting power signals
TL;DR: In this article, a new parameter based on acoustic emission (AE) signal energy (frequency range between 100 and 300 kHz) was introduced to improve response of tool wear in end milling.
Journal ArticleDOI
An intercomparison of artificial intelligence approaches for polar scene identification
V. R. Tovinkere,Manuel L. Penaloza,Antonette Logar,J. Lee,R. C. Weger,Todd Berendes,Ronald M. Welch +6 more
TL;DR: In this paper, six different artificial-intelligence (AI) approaches to polar scene identification are examined: (1) a feed forward back propagation neural network, (2) a probabilistic neural networks, (3) a hybrid neural network and (4) a "don't care" feed forward perception model, (5) a ''don´t care'' feed forward neural network (FNN'' and ''don'' neural network with fuzzy logic based expert system.
Proceedings ArticleDOI
Insect Sound Recognition Based on MFCC and PNN
TL;DR: A viable scheme to identify insect sounds automatically is proposed by using sound parameterization techniques that dominate speaker recognition technology, and the test results proved the efficiency of the proposed method.
Journal ArticleDOI
Automatic acoustic identification of singing insects
Todor Ganchev,Ilyas Potamitis +1 more
TL;DR: The signal processing employed in the present work is elaborated further with respect to the sound production mechanisms of insects, and an efficient hierarchic classification scheme is introduced, where the identification of unlabelled input takes place at various levels of hierarchy.
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