Evolutionary Design of Nearest Prototype Classifiers
Journal of Heuristics
Image texture classification using wavelet packet transform and probabilistic neural network
Intelligent Data Analysis
A Multi-Level Probabilistic Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Forward Constrained Selection Algorithm for Probabilistic Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Probabilistic Neural Network Based Method for Fault Diagnosis of Analog Circuits
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Feature selection using tabu search with long-term memories and probabilistic neural networks
Pattern Recognition Letters
A sensor fusion model for the detection and classification of anti-personnel mines
International Journal of Innovative Computing and Applications
Performance comparison of RBF networks and MLPs for classification
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
The relationship of sample size and accuracy in radial basis function networks
WSEAS Transactions on Computers
Object auto-recognition for underwater targets
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Text categorisation using a partial-matching strategy
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
A fast multi-output RBF neural network construction method
Neurocomputing
An effective sampling scheme for better multi-layer perceptrons
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Enhanced probabilistic neural network with local decision circles: A robust classifier
Integrated Computer-Aided Engineering
Investigating better multi-layer perceptrons for the task of classification
WSEAS Transactions on Computers
The effect of training set size for the performance of neural networks of classification
WSEAS Transactions on Computers
Property of artificial neural networks of classification with respect to training set size
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
ACMOS'05 Proceedings of the 7th WSEAS international conference on Automatic control, modeling and simulation
Use of probabilistic neural networks to solve classification problems in surgery
Optical Memory and Neural Networks
Expert Systems with Applications: An International Journal
Automated feature selection based on an adaptive genetic algorithm for brain-computer interfaces
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Orthogonal relief algorithm for feature selection
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
An effective ECG arrhythmia classification algorithm
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Robotics and Autonomous Systems
Statistical recognition of a set of patterns using novel probability neural network
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Generalized classifier neural network
Neural Networks
Parallel and local learning for fast probabilistic neural networks in scalable data mining
Proceedings of the 6th Balkan Conference in Informatics
An automatic computer-aided diagnosis system for liver tumours on computed tomography images
Computers and Electrical Engineering
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Network structure determination is an important issue in pattern classification based on a probabilistic neural network. In this study, a supervised network structure determination algorithm is proposed. The proposed algorithm consists of two parts and runs in an iterative way. The first part identifies an appropriate smoothing parameter using a genetic algorithm, while the second part determines suitable pattern layer neurons using a forward regression orthogonal algorithm. The proposed algorithm is capable of offering a fairly small network structure with satisfactory classification accuracy