Research Article
Parallel Big Bang-Big Crunch-LSTM Approach for Developing a Marathi Speech Recognition System
| | Initialization of “N” population and each population consist of “C” candidate solutions | | | Compute the fitness of every candidate | | | Set | | | While (i < TC) | | | for | | | for j = 1 : C | | | Compute the fitness of jth candidate solution. | | | end for | | | Calculate the local best of bth population | | | end for | | | Amongst the “N” local best solutions, find out the global best | | | With the given probability, move the local best candidate solution towards the global best | | | for | | | Create new population around local best candidate solution | | | end for | | | i = i + 1 | | | End while | | | Terminate |
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