Readings Newsletter
Become a Readings Member to make your shopping experience even easier.
Sign in or sign up for free!
You’re not far away from qualifying for FREE standard shipping within Australia
You’ve qualified for FREE standard shipping within Australia
The cart is loading…
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI techniques to improve simulation models' accuracy, efficiency, and applicability across different domains. This Special Issue includes research on using AI for optimizing simulation processes, such as reducing computation times and increasing predictive accuracy in complex systems. For instance, one study investigates the impact of different activation functions on the performance of neural networks in finite element simulations, while another reviews the application of AI in time series prediction. Furthermore, the issue covers the role of AI in real-time data processing and classification, showcasing methods to improve the detection and evaluation of data in operational technologies and structural health monitoring. The interaction between AI and agent-based modeling is also addressed, demonstrating how automated data extraction and model validation can significantly advance the development and application of agent-based models. This Special Issue provides valuable insights and methodologies for researchers and practitioners, highlighting the broad range of applications and significant advancements driven by AI in M&S.
$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout
This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI techniques to improve simulation models' accuracy, efficiency, and applicability across different domains. This Special Issue includes research on using AI for optimizing simulation processes, such as reducing computation times and increasing predictive accuracy in complex systems. For instance, one study investigates the impact of different activation functions on the performance of neural networks in finite element simulations, while another reviews the application of AI in time series prediction. Furthermore, the issue covers the role of AI in real-time data processing and classification, showcasing methods to improve the detection and evaluation of data in operational technologies and structural health monitoring. The interaction between AI and agent-based modeling is also addressed, demonstrating how automated data extraction and model validation can significantly advance the development and application of agent-based models. This Special Issue provides valuable insights and methodologies for researchers and practitioners, highlighting the broad range of applications and significant advancements driven by AI in M&S.