Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired Simulation Approach.
Tan WanL. Jeff HongPublished in: CoRR (2022)
Keyphrases
- recurrent neural networks
- feed forward
- neural network
- artificial neural networks
- recurrent networks
- reservoir computing
- complex valued
- cascade correlation
- echo state networks
- optimization problems
- long short term memory
- neural model
- feedforward neural networks
- optimization algorithm
- supply chain
- hebbian learning
- simulation model
- global optimization
- nonlinear dynamic systems
- expert systems
- artificial intelligence
- lot sizing
- mathematical model
- evolutionary algorithm
- machine learning