Research Article
HE-DFNETS: A Novel Hybrid Deep Learning Architecture for the Prediction of Potential Fishing Zone Areas in Indian Ocean Using Remote Sensing Images
Algorithm 1 Optimized LSTM networks.
| (1) | Inputs: hidden layers, learning rate, and number of epochs | | (2) | Outputs: Acy of prediction | | (3) | Initialize the bat populations as hidden layers, learning rate and number of epochs | | (4) | Initialize initial velocity, loudness, frequency, and distance using equation (7) and (8) | | (5) | While n = 1 to max_iteration | | (6) | Calculate the F(A) using equation (1) | | (7) | If F(A) = = threshold (equation (1)) | | (8) | Go to step 12 | | (9) | Else | | (10) | Update the velocity, loudness, frequency, and distance | | (11) | Go to step 6 | | (12) | End | | (13) | End | | (14) | End |
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