Soft computing methods for system dependability [electronic resource] / edited by Mohamed Arezki Mellal.
- 其他作者：
- 其他題名：
- Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
- 出版： Hershey, Pennsylvania : IGI Global 2020.
- 叢書名： Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
- 主題： Reliability (Engineering) , Soft computing.
- ISBN： 9781799817208 (ebk.) 、 9781799817185 (hbk.) 、 9781799817192 (pbk.)
- URL：
電子書
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- 一般註：Includes bibliographical references and index. Chapter 1. Software release planning using grey wolf optimizer -- Chapter 2. Modified multi-grey wolf pack for vital sign-based disease identification -- Chapter 3. Analog integrated circuit optimization: a 0.22uw bulk-driven telescopic OTA optimization using PSO program for low power biomedical devices -- Chapter 4. Enhancing system reliability through targeting fault propagation scope -- Chapter 5. Soft computing methods for measuring sustainability in the agriculture sector: ISM method to develop barriers of agri-sustainability in India -- Chapter 6. A hybrid analysis method for train driver errors in railway systems -- Chapter 7. Performability modeling of distributed systems and its formal methods representation -- Chapter 8. Sample size equation of mechanical system for parametric accelerated life testing -- Chapter 9. Risk factor in agricultural sector: prioritizing Indian agricultural risk factor by MAUT method. 110年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000292333 | 機讀編目格式
館藏資訊
Technology in today’s world has continued to develop into multifaceted structures. The performance of computers, specifically, has significantly increased leading to various and complex problems regarding the dependability of these systems. Recently, solutions for these issues have been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within system dependability. Soft Computing Methods for System Dependability is a collection of innovative research on the applications of these processing techniques for solving problems within the dependability of computer system performance. This book will feature comparative experiences shared by researchers regarding the development of these technological solutions. While highlighting topics including evolutionary computing, chaos theory, and artificial neural networks, this book is ideally designed for researchers, data scientists, computing engineers, industrialists, students, and academicians in the field of computer science.
摘要註
"This book explores the development and applications of soft computing methods in solving system dependability problems"--Provided by publisher.