CNN-LSTM-AM模型构建了量化选股策略,量化选股策略在2020年1月1日 至2022年1月1日间获得了72.68%的收益,远超同时期沪深300指数20.60% 的收益;量化选股策略最大回撤率仅16.60%,充分证明了基于本模型构建的 选股策略的有效性和优越性。 关键词:股票预测评论情感新闻情感卷积神经网络长短期记忆神经网络 ...
首先,基于IDSCNN设计能够匹配风电场群时空维度变换的可分离卷积核尺寸,对数值天气预报数据,实测功率数据进行一次时空特征提取,以获取气象–功率时空特征.然后,结合AM强化一次时空特征长时间序列中局部重要信息的贡献程度,筛选出与未来预测功率密切相关的二次时空特征,以作为LSTM预测模型的输入时间序列.最后,建立包含改进的...
基于CNN-LSTM的晶圆良率预测 晶圆良率是衡量半导体制造系统加工能力的关键指标,对其精准预测有利于排查晶圆制程工艺缺陷,提高晶圆生产率,控制企业生产成本.基于晶圆允收测试(wafer acceptance tes... 吴立辉,周秀,张中伟 - 《组合机床与自动化加工技术》 被引量: 0发表: 2023年 基于CNN-LSTM-AM神经网络的多维长序列...
The performance of the model is verified by two sets of public data sets, and the experimental results show that it is compared with the CNN-LSTM method. The root mean square error (RMSE) index based on CNN-LSTM-AM method is reduced by 14.6 % and 13.8 % respectively, and the score ...
1、为了克服上述现有技术的缺点,本发明的目的在于提供一种基于idscnn-am-lstm的沙尘暴预测方法,以提高沙尘暴预测的适用范围和预测准确率,进一步地,能够将预测结果与实际天气等级相匹配。 2、为了实现上述目的,本发明采用的技术方案是: 3、一种基于idscnn-am-lstm的沙尘暴预测方法,包括如下步骤: ...
Therefore, to overcome these problems, this article introduces a lightweight CNN model built on prior work combined with the LSTM-AM framework to obtain accurate fault detection of FW-UAVs with low power consumption and fast computations. First, lightweight CNN architecture aims to minimize ...
The closing price forecasted by CNN, support vector regression (SVR), long short-term memory (LSTM), CNN-LSTM, gated recurrent unit - LSTM (GRU-LSTM), CNN-LSTM-AM, and CNN-STLSTM-AM are compared and analyzed. The results of experiments reflect the CNN-STLSTM-AM has the highest ...
The root mean square error (RMSE) index based on CNN-LSTM-AM method is reduced by 14.6 % and 13.8 % respectively, and the score index is increased by 2.0 % and 2.4 % respectively. The results show that the proposed method has higher accuracy in bearing RUL predict...
电力无线接入网异常流量检测深度学习注意力机制为了减轻电力无线专网系统因网络业务增多而带来的网络攻击以及异常流量入侵的安全事故隐患,提出了一种基于注意力机制的卷积-长短期记忆网络(convolution-long short-term memory network based on attention mechanism,AMCNN-LSTM)模型.该模型为避免序列特征稀疏分布的问题,采用卷...
The proposed method utilizes the convolutional neural network - long short-term memory - attention mechanism (CNN-LSTM-AM) neural network algorithm to drive the data-driven modeling of MMC. Operational data from the MMC system is utilized as the training set. The CNN layer selects input ...