Issues In Verification And Validation Of Neural Network Based Approaches For Fault Diagnosis In Autonomous Systems
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Master's Theses Directories
| Author | : |
| Publisher | : |
| Total Pages | : 306 |
| Release | : 2006 |
| Genre | : Dissertations, Academic |
| ISBN | : |
"Education, arts and social sciences, natural and technical sciences in the United States and Canada".
2020 3rd International Conference on Unmanned Systems (ICUS)
| Author | : IEEE Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2020-11-27 |
| Genre | : |
| ISBN | : 9781728180267 |
2020 3rd International Conference on Unmanned Systems (ICUS) will be held from Nov 27 to Nov 28, 2020 in Harbin, China The conference offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas in the areas of unmanned systems, robotics, automation, and intelligent systems The aim of the ICUS is to stimulate researchers active in the areas pertinent to intelligent unmanned systems ICUS will feature plenary lectures, contributed and invited sessions, panel discussions, pre conference workshops, oral presentation sessions and interactive sessions The accepted papers of ICUS will be included in the IEEE Xplore library and indexed by the EI Compendex
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
| Author | : Brian J. Taylor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 280 |
| Release | : 2006-03-20 |
| Genre | : Computers |
| ISBN | : 0387294856 |
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems. NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications. Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems. A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book.
Proceedings of Fourth International Conference on Soft Computing for Problem Solving
| Author | : Kedar Nath Das |
| Publisher | : Springer |
| Total Pages | : 616 |
| Release | : 2014-12-24 |
| Genre | : Technology & Engineering |
| ISBN | : 8132222172 |
The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book is beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.
Sensors Fault Diagnosis Trends and Applications
| Author | : Piotr Witczak |
| Publisher | : MDPI |
| Total Pages | : 236 |
| Release | : 2021-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3036510486 |
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
Robots, Drones, UAVs and UGVs for Operation and Maintenance
| Author | : Diego Galar |
| Publisher | : CRC Press |
| Total Pages | : 409 |
| Release | : 2020-05-07 |
| Genre | : Technology & Engineering |
| ISBN | : 0429839189 |
Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries
Methods and Procedures for the Verification and Validation of Artificial Neural Networks
| Author | : Brian J. Taylor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 300 |
| Release | : 2006 |
| Genre | : Computers |
| ISBN | : 9780387282886 |
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. This volume introduces some of the methods and techniques used for the verification and validation of neural networks and adaptive systems.
NASA SP-7500
| Author | : United States. National Aeronautics and Space Administration |
| Publisher | : |
| Total Pages | : 752 |
| Release | : 1986 |
| Genre | : |
| ISBN | : |
