Detector neural network vs connectionist ANNs.
Yuri ParzhinViktor KosenkoAndrii PodorozhniakOlga MalyeyevaVolodymyr TimofeyevPublished in: Neurocomputing (2020)
Keyphrases
- neural network
- artificial neural networks
- back propagation
- neural nets
- feed forward neural networks
- feed forward
- multilayer perceptron
- activation function
- hidden neurons
- using artificial neural networks
- neural network model
- multi layer perceptron
- artificial neural
- pattern recognition
- network architecture
- radial basis function
- auto associative
- learning rules
- backpropagation neural networks
- genetic algorithm
- connectionist models
- distributed representations
- fault diagnosis
- fuzzy logic
- bp neural network
- hidden layer
- associative memory
- expert systems
- benchmark classification problems
- application of artificial neural networks
- feedforward neural networks
- genetic algorithm ga
- detection method
- knn
- levenberg marquardt
- learning vector quantization
- feature detectors
- fuzzy neural network
- input variables
- recurrent neural networks
- ann models
- neural architectures
- connectionist systems
- knowledge base