HalpernSGD: A Halpern-Inspired Optimizer for Accelerated Neural Network Convergence and Reduced Carbon Footprint.
Katherine Rossella FogliaVittorio ColaoEttore RitaccoPublished in: ISMIS (2024)
Keyphrases
- neural network
- weight update
- artificial neural networks
- general regression neural networks
- temporal logic
- back propagation
- pattern recognition
- convergence rate
- neural network model
- feed forward
- network architecture
- query optimization
- optimization algorithm
- recurrent neural networks
- fault diagnosis
- bp neural network
- convergence speed
- iterative algorithms
- reasoning about actions
- expert systems
- learning vector quantization
- fuzzy artmap
- backpropagation neural network
- carbon dioxide
- multi objective
- neural network is trained
- faster convergence
- query optimizer
- feed forward neural networks
- activation function
- hidden layer
- neural nets
- logic programming
- radial basis function