Predication on Initial Discharge Capacity of AB5-Based Hydrogen Storage Alloy

Abstract:

Predication on initial discharge capacity of AB5-based hydrogen storage was done by adapting the simulated annealing method to artificial neural network (ANN). The parameters in cooling schedule were determined and their influences on network predication performance were discussed in experiments. A practical cooling regime was established then, and a network with better performances was obtained by combining simulated annealing algorithm with gradient descent method.

Key words:AB5-based hydrogen storage alloy,artificial neural network,simulated annealing,cooling schedule,gradient descent