Jaya-Neural Network for Server Room Temperature Forecasting Through Sensor Network
Daftar Isi:
- The server room temperature is the primary variable that influenced the server performance. Therefore, forecasting the temperature environment in a server room is necessary to prevent the worst condition. The conventional neural network has been widely used to the forecasting problem even though it can easily trap in the local solution, which is the leading research topic recently. The other ways to adjust the weight of the multi-layer neural network is using intelligence optimization algorithm. However, in the existing optimization algorithm, the parameter setting is the main topic to get the best optimization result. In this paper, the implementation of the parameterless optimization algorithm is discussed. Jaya algorithm is proposed to adjusting the weight of the multi-layer neural network in the forecasting of server room temperature. The experimental result shows that Jaya-NN has outperformed than the other optimization, and it can forecast temperature data accurately.