Several factors may result in the high number of accidents among which we can state the driving behavior. This paper focused on the study of drivers behavior and aimed to help reduce the number of accidents and consequently improve road safety. To this end, the driving behavior was classified ...
14. 确定性策略梯度(1990) 1990 年论文的章节「Augmenting the Algorithm by Temporal Difference Methods」结合了基于动态规划的时序差分方法,以梯度的方式来预测累积奖励,以计算单独控制网络的权重变化。25 年过后,DeepMind 将其变种称为确定性策略梯度算法(DPG)。 15. 用网络来调整网络/梯度同步(1990) 在1990 年,...
25 年后,DeepMind 提出了该方法的一种变体「确定性策略梯度算法」(Deterministic Policy Gradient algorithm,DPG)[DPG][DDPG]。 15. 用网络调整网络/合成梯度(1990) 1990 年,我提出了各种学着调整其它神经网络的神经网络 [NAN1]。在这里,我将重点讨论 「循环神经网络中的局部监督学习方法」(An Approach to Local...
该毕设的部分研究成果已发表在中文核心期刊《中文信息学报》[4];另有一篇论文“A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling”已被 2022 ACM SIGKDD 接受[5]。 参考文献 [1] REISBERG D. Cognition: Exploring the Science of the Mind[M]. Seventh edition ed. New York:...
example we’ll use a deep learning algorithm, a stacked autoencoder, but it will work in the same way with many other machine learning algorithms. With today’s software tools, only about 20 lines of code are needed for a machine learning strategy. I’ll try to explain all steps in ...
LSTM模型的训练日志可用于诊断模型的行为。可以使用Matplotlib库打印模型的性能。例如,可以按如下方式绘制训练损失与测试损失: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importmatplotlib.pyplotasplt...history=model.fit(X,Y,epochs=100,validation_data=(valX,valY))plt.plot(history.history['loss'])pl...
algorithm. First we estimate biological age (BA) using 1D CNN7, DNN, CNN + LSTM, and ConvLSTM* models, and then we calculate\(\eta =\frac{CA-BA}{CA}\)for each BA prediction algorithm. The DNN and CNN + LSTM models were developed and implemented in this work. The ConvLSTM...
single frame detection algorithm ignores the dynamic defect of deepfake; when the data has defects, the model may fall into the trap of "learning specific face". In this paper, we propose a forgery face detection method in video, which uses the convolutional LSTM combined with CNN and LSTM ...
自校正地面沉降预测模型. 科学技术与工程, 23(13): 5470-5480[Hou M H, Yuan Y, Yang C M, Li Y P, Huang H C. 2023. Elman residual self-tuning land subsidence prediction model based on sparrow search algorithm optimiz...
光伏电站建设在人迹罕至的野外,准确定位问题支路位置与故障类型对进一步提高光伏发电系统的运行效率及降低发电成本具有重要意义[1]。 近年来,国内外学者对光伏组件发电系统采用建模的方法,对组件运行时采集到的图像采用图像分析的方法,针对某种特定故障进行诊断。当前针对光伏组件故障诊断主要分为图像方法、物理方法、数学方...