Abstract
Through this paper, four different neural network structures which are: multilayer perceptron, radial basis function, general regression neural network and probabilistic neural network are applied to the escherichia coli bacteria benchmark and the most efficient neural network architecture for this data has been obtained. Better classification accuracy than the reference work using the ad hoc structured probability model was achieved by a probabilistic neural network.
Keywords
Probabilistic neural network
Artificial neural network
Computer science
Artificial intelligence
Probabilistic logic
Multilayer perceptron
Benchmark (surveying)
Radial basis function
Machine learning
Time delay neural network
Pattern recognition (psychology)
Subject Areas
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Fault Detection and Control Systems
·Control and Systems Engineering ·Physical Sciences
Face and Expression Recognition
·Computer Vision and Pattern Recognition ·Physical Sciences
Citations by Year
2013: 1
2014: 1
2016: 1
2022: 1
2023: 1
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