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Probabilistic Neural Network Classifier
https://doi.org/10.1142/9789812796851_0007Cited by:2 (Source: Crossref)
Abstract:
The following sections are included:
PNN Theory
Bayes' Decision Strategy
PDF Estimators and Radial Basis Functions
PNN Architecture
Relation of the Dot Product to Radial Distance
Features and Application Issues
Applications of the PNN
Gong Classification Application Example
Gong Description
Data Sampling
Primary Analysis and Feature Selection
PNN Training and Classification Performance
Particle Isolation Application Example
FPGA PNN Design
Proposed Design
Test Results
Test Conclusions
References
