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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

Related topics

6 relations
Artificial neural networkBayesian networkFeedforward neural networkMultilayer perceptron

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Profiling blood donors in Egypt: A neural network analysis
2006
2006
Benchmarking Probabilistic Neural Network Algorithms
The progress of research in probabilistic neural network (PNN) and related issues is straight related to directly compare the… 
2006
2006
Evolutionary Bayesian Probabilistic Neural Networks
A well-known and widely used model for classification and prediction is the Probabilistic Neural Network (PNN). PNN’s performance… 
Highly Cited
2005
Highly Cited
2005
Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification
In this paper, a novel shape recognition method based on radial basis probabilistic neural network (RBPNN) is proposed. The… 
2004
2004
Optimizing the Performance of Probabilistic Neural Networks in a BioinformaticsTa sk
A self adaptive probabilistic neural network model is proposed. The model incorporates the Particle Swarm Optimization algorithm… 
2003
2003
Performance Increasing Methods for Probabilistic Neural Networks
Through this paper, some performance increasing methods for probabilistic neural network (PNN) are presented. These methods are… 
1997
1997
A vector quantisation reduction method for the probabilistic neural network
This paper introduces a vector quantisation method to reduce the probabilistic neural network classifier size. It has been… 
1992
1992
Probabilistic reasoning and probabilistic neural networks
The Boltzmann machine is a probabilistic neural network describing the associative dependency of variables. It yields a… 
1992
1992
Generalized probabilistic neural network based classifiers
Two new probabilistic neural-network-based maximum-likelihood classifiers are presented. These classifiers are based on Gram… 
1990
1990
Applications of probabilistic neural networks
  • D. Specht
  • Defense, Security, and Sensing
  • 1990
  • Corpus ID: 109290275
By replacing the sigmoid activation function often used in neural networks with an exponential function a probabilistic neural… 
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