Perceptron Theory Can Predict the Accuracy of Neural Networks.
Denis KleykoAntonello RosatoEdward Paxon FradyMassimo PanellaFriedrich T. SommerPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- neural network
- high accuracy
- neural nets
- fuzzy logic
- theoretical framework
- pattern recognition
- artificial neural networks
- fuzzy systems
- general theory
- self organizing maps
- recurrent neural networks
- prediction accuracy
- highly accurate
- computational cost
- learning rules
- multi layer
- multi layer perceptron
- computational model
- feed forward
- computational efficiency
- fault diagnosis
- error rate
- multi class
- classification accuracy
- evolutionary algorithm
- computer vision
- artificial intelligence
- learning algorithm