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… (More)
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Artificial neural networkBayesian networkFeedforward neural networkMultilayer perceptron
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Enhanced probabilistic neural network with local decision circles: A robust classifier
In recent years the Probabilistic Neural Network (PPN) has been used in a large number of applications due to its simplicity and… (More)
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Highly Cited
2009
Highly Cited
2009
A probabilistic neural network for earthquake magnitude prediction
A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest earthquake in a pre-defined future… (More)
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Highly Cited
2008
Highly Cited
2008
Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
This paper presents an S-Transform based probabilistic neural network (PNN) classifier for recognition of power quality (PQ… (More)
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Highly Cited
2007
Highly Cited
2007
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
In this paper, we employ probabilistic neural network (PNN) with image and data processing techniques to implement a general… (More)
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Highly Cited
2005
Highly Cited
2005
Hierarchical Probabilistic Neural Network Language Model
In recent years, variants of a neural network architecture for statistical language modeling have been proposed and successfully… (More)
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Highly Cited
2004
Highly Cited
2004
Adaptive probabilistic neural networks for pattern classification in time-varying environment
In this paper, we propose a new class of probabilistic neural networks (PNNs) working in nonstationary environment. The novelty… (More)
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Highly Cited
2000
Highly Cited
2000
Probabilistic neural-network structure determination for pattern classification
Network structure determination is an important issue in pattern classification based on a probabilistic neural network. In this… (More)
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Highly Cited
1999
Highly Cited
1999
Radial Basis Probabilistic Neural Networks: Model and Application
This paper investigates the capabilities of radial basis function networks (RBFN) and kernel neural networks (KNN), i.e. a… (More)
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Highly Cited
1991
Highly Cited
1991
Learning vector quantization for the probabilistic neural network
A modified version of the PNN (probabilistic neural network) learning phase which allows a considerable simplification of network… (More)
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Highly Cited
1990
Highly Cited
1990
Probabilistic neural networks
-By replacing the sigmoid activation function often used in neural networks with an exponential function, a probabilistic neural… (More)
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