为克服依靠图像数据进行识别的局限,使用航迹数据和深度学习方法是当前船型识别的热门方案。针对船型识别任务中常用的长短时记忆(Long Short Term Memory,LSTM)网络对航迹数据特征提取的性能饱和问题,提出了一种基于“Four-hot”编码和...为克服依靠图像数据进行识别的局限,使用航迹数据和深度学习方法是当前船型识别的热门方案。针对船型识别任务中常用的长短时记忆(Long Short Term Memory,LSTM)网络对航迹数据特征提取的性能饱和问题,提出了一种基于“Four-hot”编码和Transformer-LSTM神经网络模型的船型识别方法。首先将航迹数据编码为“Four-hot”向量形式;然后构建由Transformer编码模块和LSTM网络级联的Transformer-LSTM神经网络模型,用LSTM网络对Transformer输出的高层表示进行二次学习。在船舶自动识别系统(Automatic Identification System,AIS)数据集上的实验结果显示,所提出的方法在测试集上的加权平均F1分数(Weighted Average F1,WAF1)比未编码航迹数据经5类实验模型直接训练和测试得到的值高3.09百分点以上。展开更多
Evaluation is widely acknowledged as a powerful means of improving the quality of education and it is a very important component of the education system. However, the current mainstream evaluation method is based on t...Evaluation is widely acknowledged as a powerful means of improving the quality of education and it is a very important component of the education system. However, the current mainstream evaluation method is based on the examination as the common way, which has very limited help to instructors' teaching. In this paper, based on an online learning platform named "educoder", we design an evaluation method by using "Four-quadrant law", which divides students' learning situations into four types. In addition, we provide some suggestions for instructors about how to give targeted teaching to different students in each type. We verify that our method is useful by setting up experiments. The experiment results show that our method can effectively improve the quality of instructors' teaching.展开更多
文摘为克服依靠图像数据进行识别的局限,使用航迹数据和深度学习方法是当前船型识别的热门方案。针对船型识别任务中常用的长短时记忆(Long Short Term Memory,LSTM)网络对航迹数据特征提取的性能饱和问题,提出了一种基于“Four-hot”编码和Transformer-LSTM神经网络模型的船型识别方法。首先将航迹数据编码为“Four-hot”向量形式;然后构建由Transformer编码模块和LSTM网络级联的Transformer-LSTM神经网络模型,用LSTM网络对Transformer输出的高层表示进行二次学习。在船舶自动识别系统(Automatic Identification System,AIS)数据集上的实验结果显示,所提出的方法在测试集上的加权平均F1分数(Weighted Average F1,WAF1)比未编码航迹数据经5类实验模型直接训练和测试得到的值高3.09百分点以上。
文摘Evaluation is widely acknowledged as a powerful means of improving the quality of education and it is a very important component of the education system. However, the current mainstream evaluation method is based on the examination as the common way, which has very limited help to instructors' teaching. In this paper, based on an online learning platform named "educoder", we design an evaluation method by using "Four-quadrant law", which divides students' learning situations into four types. In addition, we provide some suggestions for instructors about how to give targeted teaching to different students in each type. We verify that our method is useful by setting up experiments. The experiment results show that our method can effectively improve the quality of instructors' teaching.
