Multi-objective Recurrent Neural Networks Optimization for the Edge - a Quantization-based Approach.
Nesma M. RezkTomas NordströmDimitrios StathisZain Ul-AbdinEren Erdal AksoyAhmed HemaniPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- multi objective
- optimization algorithm
- multiple objectives
- evolutionary algorithm
- neural network
- evolutionary optimization
- multiobjective optimization
- conflicting objectives
- optimum design
- feed forward
- optimization method
- echo state networks
- multi objective optimization
- recurrent networks
- complex valued
- edge detection
- objective function
- artificial neural networks
- cascade correlation
- optimization problems
- feedforward neural networks
- reservoir computing
- long short term memory
- multi objective evolutionary algorithms
- global optimization
- multi objective optimization problems
- pareto optimal
- quantization error
- test problems
- differential evolution
- nonlinear dynamic systems
- genetic algorithm
- machine learning
- real time