UID:
kobvindex_HPB1423130774
Format:
1 online resource (728 p.).
ISBN:
9789464633702
,
9464633700
Series Statement:
Advances in Intelligent Systems Research Series ; v.180
Note:
Description based upon print version of record.
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Research on Crude Oil Price Forecasting TechnologyCased on Fbprophet
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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
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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
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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
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Comparison of DQN And Double DQN ReinforcementLearning Algorithms for Stock Market Prediction -- Comparison of Four Convolutional Neural Network-Based Algorithms for Sports Image Classification -- Comparison of Three Deep Reinforcement Learning Algorithms for Solving the Lunar Lander Problem -- Comparison of Actor-Critic Reinforcement Learning Models for Formulating Stock Trading Strategy -- Comparison of Q-learning and SARSA Reinforcement Learning Models on Cliff Walking Problem -- Evaluation of DQN and Double DQN Algorithms in Flappy Bird Environment
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A Comparison of DQN and Dueling DQN in A Super Mario Environment -- 2Method -- 2.1The Game Environment -- 2.2The Model -- 2.3Scenarios -- Basic. This is a simple scenario which have a box- -- Defend the Center. This scenario include a round s -- Deathmatch. Deathmatch is a 2:30-minute free-for-a -- 3Results -- 3.1The Result of Basic -- 3.2The Result of Defend the Center -- 3.3The Result of Deathmatch -- 4Discussion -- 5Conclusion -- References -- An FM-Wavetable-Synthesized Violin with Natural Vibrato and Bow Pressure -- Accurate and Robust Image Matching Method Based onan Improved FAST Algorithm
Additional Edition:
Print version: Ahmad, Badrul Hisham Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023) Dordrecht : Atlantis Press (Zeger Karssen),c2024 ISBN 9789464633696
Language:
English
Keywords:
Electronic books.
URL:
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