Journal of Information ManagementVol. 31 iss. 2
1. Analysis and Prediction on Multiple Technique Indexes Strategy for Taiwan Capitalization Weighted Stock Index
楊耿杰;趙文彬;林宗輝;林薏文;姜林杰祐;
頁: 153-176
日期: 2024/04
關鍵字: Multiple technique indexes, technique analysis, trading strategy;
Keywords: Multiple technique indexes, technique analysis, trading strategy;
摘要: Purpose - Single technical indicator only generates buying and selling signals for trading. However, when the long-term trend is up or down, it will generate too many buying or selling signals. This situation will interfere investors’decision. De...
瀏覽次數: 11175 下載次數: 1118
引用 導入Endnote
頁: 153-176
日期: 2024/04
關鍵字: Multiple technique indexes, technique analysis, trading strategy;
Keywords: Multiple technique indexes, technique analysis, trading strategy;
摘要: Purpose - Single technical indicator only generates buying and selling signals for trading. However, when the long-term trend is up or down, it will generate too many buying or selling signals. This situation will interfere investors’decision. De...
瀏覽次數: 11175 下載次數: 1118
引用 導入Endnote
2. Predicting Stock Prices by Combining Long- and Short-Term Memory with Time Convolutional Networks: An Empirical Study on Electronic Stocks in Taiwan
蕭國倫;劉柏辰;蔡泊均;
頁: 177-207
日期: 2024/04
關鍵字: Stock prediction, Deep learning, Temporal Convolutional Network (TCN), Long Short-Term Memory(LSTM);
Keywords: Stock prediction, Deep learning, Temporal Convolutional Network (TCN), Long Short-Term Memory(LSTM);
摘要: Predicting stock prices has always been a challenging task due to the multitude of factors that can influence them. Adding too many features can make the model overly complex, so identifying key features is crucial for accuracy. In the field of stock...
瀏覽次數: 11532 下載次數: 1238
引用 導入Endnote
頁: 177-207
日期: 2024/04
關鍵字: Stock prediction, Deep learning, Temporal Convolutional Network (TCN), Long Short-Term Memory(LSTM);
Keywords: Stock prediction, Deep learning, Temporal Convolutional Network (TCN), Long Short-Term Memory(LSTM);
摘要: Predicting stock prices has always been a challenging task due to the multitude of factors that can influence them. Adding too many features can make the model overly complex, so identifying key features is crucial for accuracy. In the field of stock...
瀏覽次數: 11532 下載次數: 1238
引用 導入Endnote
3. Constructing an Integrated Analysis Mechanism for Music Genre and Lyric Semantics using Deep Learning and Topic Modeling
胡志堅;陳昱安;
頁: 209-237
日期: 2024/04
關鍵字: Music genre classification, Convolutional neural network (CNN), Music information retrieval (MIR), Text mining, Topic model;
Keywords: Music genre classification, Convolutional neural network (CNN), Music information retrieval (MIR), Text mining, Topic model;
摘要: The development of information and communication technology has led to many music enthusiasts using music streaming platforms to enjoy and share music. However, with the increasing number of music works, effectively managing these works and improving...
瀏覽次數: 12913 下載次數: 1281
引用 導入Endnote
頁: 209-237
日期: 2024/04
關鍵字: Music genre classification, Convolutional neural network (CNN), Music information retrieval (MIR), Text mining, Topic model;
Keywords: Music genre classification, Convolutional neural network (CNN), Music information retrieval (MIR), Text mining, Topic model;
摘要: The development of information and communication technology has led to many music enthusiasts using music streaming platforms to enjoy and share music. However, with the increasing number of music works, effectively managing these works and improving...
瀏覽次數: 12913 下載次數: 1281
引用 導入Endnote
4. Early detection of sepsis utilizing self-regulated generative adversarial network and deep fuzzy support vector machine
龔千芬;郝沛毅;
頁: 239-276
日期: 2024/04
關鍵字: : Sepsis early warning model, Deep learning, Fuzzy support vector machines, Medical informatics, Generative adversarial network;
Keywords: : Sepsis early warning model, Deep learning, Fuzzy support vector machines, Medical informatics, Generative adversarial network;
摘要: Sepsis is a serious disease that can lead to death. According to the statistics of the World Health Organization, about 6 million people die each year due to septic shock, and the mortality rate is as high as 50%. Early warning and early interventi...
瀏覽次數: 14664 下載次數: 288
引用 導入Endnote
頁: 239-276
日期: 2024/04
關鍵字: : Sepsis early warning model, Deep learning, Fuzzy support vector machines, Medical informatics, Generative adversarial network;
Keywords: : Sepsis early warning model, Deep learning, Fuzzy support vector machines, Medical informatics, Generative adversarial network;
摘要: Sepsis is a serious disease that can lead to death. According to the statistics of the World Health Organization, about 6 million people die each year due to septic shock, and the mortality rate is as high as 50%. Early warning and early interventi...
瀏覽次數: 14664 下載次數: 288
引用 導入Endnote