Titel: | |
Person/en: | |
Ausgabe: | 1st ed. |
Sprache/n: | Englisch |
Veröffentlichungsangabe: | Dordrecht : Atlantis Press (Zeger Karssen), 2024 |
Copyright-Datum: | ©2024 |
Umfang: | 1 online resource (728 pages) |
Schriftenreihe: | |
Anmerkung: | Description based on publisher supplied metadata and other sources. |
Bibliogr. Zusammenhang: | |
ISBN: | 978-94-6463-370-2 |
Inhalt: | Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- 1 REVIEW PROCEDURE -- 2 QUALITY CRITERIA -- 3 KEY METRICS -- 4 COMPETING INTERESTS -- Comparison of Deep Reinforcement Learning Algorithms for Trading Strategy -- An Evaluation of DDPG, TD3, SAC, and PPO: Deep Reinforcement Learning Algorithms for Controlling Continuous System -- Research on the application and future development of visual recognition in modern agriculture -- Research and Application of Digit Recognition Based on K-Nearest Neighbor Classifier -- Optimization Model Performance through Pruning Techniques -- Research on Sleep Health Prediction and Algorithms Based on Big Data -- Leveraging Machine Learning for Precipitation Prediction: Enhancing Weather Forecast Accuracy -- Comparing Linear Regression and Decision Trees for Housing Price Prediction -- Comprehensive Analysis of Mobile Robot Target Tracking Technology Based on Computer Vision -- Comprehensive Analysis on Structural Design and Application of Supporting In-Pipe Robot -- Comprehensive analysis of the progress and application for defect detection technology in welding process -- Technology development and application analysis of additive manufacturing technology in the aeronautics and astronautics field -- Development and Application Analysis of 3D Point Cloud Technology Based on Computer Vision in the Field of Welding Robots -- Analysis of the Application of Collaborative Robots inAutomation: Taking Card JAKA Robots as an Example -- Comprehensive Analysis of Inspection Robot Technology and Application in Substation -- Comparison of DDPG and TD3 Algorithms in a Walker2D Scenario -- Comparison of Deep Q Network and Its Variations in a Banana Collecting Environment -- Comparison of DQN And Double DQN ReinforcementLearning Algorithms for Stock Market Prediction. |
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Anmerkung: | Open Access |
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