The phrase "adapt the network" is correct and usable in written English.
You can use it when discussing changes or modifications made to a network to improve its performance or functionality.
Example: "In order to enhance our system's efficiency, we need to adapt the network to accommodate the new software requirements."
Alternatives: "modify the network" or "adjust the network".
The on-line learning is used to adapt the network under varying flight conditions.
Evolutionary algorithms are used to automatically adapt the network architecture and connection weights according to the problem environment without substantial human intervention.
Provisions have also been made to dynamically adapt the network to local traffic fluctuations by maintaining databases at some nodes and reallocation of unused resources, thereby improving its overall performance.
The adaptive properties of the model suggest that the abundant recurrent connections found in visual cortex serve to adapt the network's time constant in accordance with the stimulus and normalizes neuronal signals such that processing is as fast as possible while maintaining reliability.
We use the backpropagation algorithm to adapt the network.
Since a biological, neural-based error signal was used to adapt the network using reinforcement learning, a set of guidelines for what can be expected from the temporal modulation of the NAcc leading up to target acquisition was developed here.
Then, the generated schedule is continually updated over time using a runtime adaptation approach in order to be capable of dynamically adapting the network to changing conditions and mitigating the side effects of provisioned reliability.
Furthermore, the algorithm shall be able to adapt itself to new circumstances by adapting the network and the system parameters.
An algorithm is derived, which adapts the network parameters according to the self-triggered sampler of every control loop.
Therefore, methods that reduce energy consumption by adapting the network resource to the traffic demand are important research directions.
Self-optimization functions automatically modify network parameters during the operational phase in order to improve the network performance by adapting the network to changes of environment conditions.
