Biogeography-Based Optimization for Weight Optimization in Elman Neural Network Compared with Meta-Heuristics Methods
In this paper, we present a learning algorithm for the Elman Recurrent Neural Network (ERNN) based on Biogeography-Based Optimization (BBO). The proposed algorithm computes the weights, initials inputs of the context units and self-feedback coefficient of the Elman network. The method applied for fo...
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| Format: | Article |
| Language: | English |
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EduSoft publishing
2020-10-01
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| Series: | Brain: Broad Research in Artificial Intelligence and Neuroscience |
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| Online Access: | https://www.edusoft.ro/brain/index.php/brain/article/view/1022 |