Comparative Performance Analysis of Neural Network Base Training Algorithm and Neuro-Fuzzy System with SOM for the Purpose of Prediction of the Features of Superconductors.
Subrato BharatiMohammad Atikur RahmanPrajoy PodderMd. Robiul Alam RobelNiketa GandhiPublished in: ISDA (2019)
Keyphrases
- training algorithm
- neural network
- back propagation
- self organizing maps
- neural network training
- training process
- artificial neural networks
- feature vectors
- rbf neural network
- pattern recognition
- bp neural network
- genetic algorithm
- feed forward neural networks
- levenberg marquardt
- bp algorithm
- bp network
- gradient vector
- kohonen self organizing map
- learning algorithm
- neural nets
- artificial intelligence
- feature extraction
- conjugate gradient
- fuzzy logic
- multi layer perceptron
- fault diagnosis
- feed forward
- prediction model
- unsupervised learning
- small number
- semi supervised
- hidden layer
- wavelet neural network
- support vector machine
- learning rate