Analytical Calculation of Hidden Layer Biases in Extreme Learning Machines with Sinusoidal Activation Function.
Matheus Rocha BarbosaLuís Gustavo Mota SouzaPublished in: BRACIS (2019)
Keyphrases
- hidden layer
- activation function
- extreme learning machines
- back propagation
- feed forward
- neural network
- learning rate
- artificial neural networks
- recurrent neural networks
- multilayer perceptron
- feed forward neural networks
- radial basis function
- neural nets
- feedforward neural networks
- connection weights
- latent variables
- rbf neural network
- hidden neurons
- error function
- backpropagation algorithm
- single hidden layer
- single layer
- number of hidden neurons
- sigmoid function
- hidden nodes
- output layer
- genetic algorithm
- fuzzy neural network
- radial basis function neural network
- network architecture
- convergence rate
- hidden units
- neural network model
- fuzzy logic
- pattern recognition
- learning algorithm