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Probabilistic neural network
A probabilistic neural network (PNN) is a feedforward neural network, which was derived from the Bayesian network and a statistical algorithm called…
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Related topics
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6 relations
Artificial neural network
Bayesian network
Feedforward neural network
Multilayer perceptron
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2006
2006
Benchmarking Probabilistic Neural Network Algorithms
F. Gorunescu
2006
Corpus ID: 17522608
The progress of research in probabilistic neural network (PNN) and related issues is straight related to directly compare the…
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2006
2006
Evolutionary Bayesian Probabilistic Neural Networks
Vasileios L. Georgiou
,
S. Malefaki
,
D. Alevizos
,
M. N. Vrahatis
2006
Corpus ID: 13961437
A well-known and widely used model for classification and prediction is the Probabilistic Neural Network (PNN). PNN’s performance…
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Highly Cited
2005
Highly Cited
2005
Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification
Jixiang Du
,
De-shuang Huang
,
Xiaofeng Wang
,
Xiao Gu
International Symposium on Neural Networks
2005
Corpus ID: 8747412
In this paper, a novel shape recognition method based on radial basis probabilistic neural network (RBPNN) is proposed. The…
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Highly Cited
2004
Highly Cited
2004
Analysis of neural networks and analysis of feature selection with genetic algorithm to discriminate among pollutant gas
M. Aleixandre
,
I. Sayago
,
+5 authors
J. Gutiérrez
2004
Corpus ID: 10905064
2003
2003
Performance Increasing Methods for Probabilistic Neural Networks
B. Bolat
,
T. Yıldırım
2003
Corpus ID: 9967040
Through this paper, some performance increasing methods for probabilistic neural network (PNN) are presented. These methods are…
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1998
1998
Speech recognition using the probabilistic neural network
Raymond Low
,
R. Togneri
ICSLP
1998
Corpus ID: 11308366
A novel technique for speaker independent automated speech recognition is proposed. We take a segment model approach to Automated…
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1997
1997
A vector quantisation reduction method for the probabilistic neural network
A. Zaknich
International Conference on Neural Networks
1997
Corpus ID: 62489705
This paper introduces a vector quantisation method to reduce the probabilistic neural network classifier size. It has been…
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1992
1992
Generalized probabilistic neural network based classifiers
M.W. Kim
,
M. Arozullah
[Proceedings ] IJCNN International Joint…
1992
Corpus ID: 60901585
Two new probabilistic neural-network-based maximum-likelihood classifiers are presented. These classifiers are based on Gram…
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1992
1992
Probabilistic reasoning and probabilistic neural networks
Gerhard Pass
International Journal of Intelligent Systems
1992
Corpus ID: 63921
The Boltzmann machine is a probabilistic neural network describing the associative dependency of variables. It yields a…
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1992
1992
Improving the performance of probabilistic neural networks
Mohamad Musavi
,
K. Kalantri
,
W. Ahmed
[Proceedings ] IJCNN International Joint…
1992
Corpus ID: 123587849
A methodology for selection of appropriate widths or covariance matrices of the Gaussian functions in implementations of PNN…
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