All Relations between short term memory and dbo
| Publication | Sentence | Publish Date | Extraction Date | Species |
|---|---|---|---|---|
| Mengyuan Xiong, Shuangjin Zheng, Wei Liu, Rongsheng Cheng, Lihui Wang, Haijun Zhang, Guona Wan. A rate of penetration (ROP) prediction method based on improved dung beetle optimization algorithm and BiLSTM-SA. Scientific reports. vol 14. issue 1. 2024-10-29. PMID:39468121. | this study proposes an end-to-end rop prediction model based on bilstm-sa-idbo, which integrates bidirectional long short-term memory (bilstm), a self-attention mechanism (sa), and an improved dung beetle optimization algorithm (idbo), incorporating the bingham physical equation.we enhanced the dbo algorithm by using sobol sequences for population initialization and integrating the golden sine algorithm and dynamic subtraction factors to develop a more robust idbo. | 2024-10-29 | 2024-10-31 | Not clear |
| Guangyu Mu, Jiaxue Li, Xiurong Li, Chuanzhi Chen, Xiaoqing Ju, Jiaxiu Da. An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets. Biomimetics (Basel, Switzerland). vol 9. issue 9. 2024-09-27. PMID:39329555. | the improved dbo (idbo) algorithm is then utilized to optimize the convolutional neural network-bidirectional long short-term memory (cnn-bilstm) model's hyperparameters. | 2024-09-27 | 2024-09-29 | Not clear |