بهینه‌ساز زیست‌جغرافیایی زیستگاه انطباقی برای بهینه‌سازی ابرپارامترهای شبکه عصبی کانولوشنی عمیق در طبقه‌بندی تصویر

Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeography-Based Optimizer (AHBBO) for tuning the hyperparameters of DCNNs in image classification tasks. In complicated optimization problems, the BBO suffers from premature convergence and insufficient exploration. In this regard, an adaptable habitat is prese...