A new approach for dynamic modelling of energy consumption in the grinding process using recurrent neural networks.
Ander ArriandiagaEva PortilloJosé Antonio SánchezItziar CabanesIñigo PomboPublished in: Neural Comput. Appl. (2016)
Keyphrases
- energy consumption
- recurrent neural networks
- wireless sensor networks
- energy efficient
- sensor networks
- energy efficiency
- artificial neural networks
- energy conservation
- data transmission
- energy saving
- neural network
- power management
- feed forward
- base station
- routing protocol
- data aggregation
- save energy
- nonlinear dynamic systems
- data center
- energy aware