Many academics have recently developed an interest in the learning process of long short-
term memory, which is widely accepted as one of the trickiest issues in machine learning.
The main challenges of the standard training procedure are usually local optima stagnation
and slow convergence. As a result, the whale optimization algorithm can be used to solve
long short-term memory local minima. Optimizing connection weights can go a long way
toward assisting the authority to properly addressing network problems. A review of the …