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数学建模及其应用最新文献

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models 基于自建模网络模型的多层次组织学习计算建模及其控制
数学建模及其应用
Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-28735-0
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引用次数: 2
Mathematical Modeling of the Learning Curve and its Practical Applications 学习曲线的数学建模及其实际应用
数学建模及其应用
Pub Date : 2022-01-01 DOI: 10.52305/lctu2679
I. Stepanov, C. Abramson
This book provides a detailed description of the application of mathematical learning curve modeling to analyze the state of learning and memory in humans and animals. The purpose of the book is to enable the readers to apply the knowledge gained in their own research on learning and memory. The authors hope that the readers may achieve success in this field of knowledge, expand and advance mathematical modeling of the learning curve, and that this book may aid in this process.For this, the authors have developed their own mathematical model based on the systems theory and proved its advantage in relation to those previously proposed. The authors developed MS Windows application Learning Curve Modeling Tool to help the reader modeling the learning curve from raw learning data in the California Verbal Learning Test, the Rey Auditory Verbal Learning Test, and other similar memory tests. Moreover, the book describes in detail the Windows and Android application Memory Monitoring Tool, developed by the authors, which is suited well for mathematical modeling of the learning curves. The application aims to reveal initial signs of memory impairment. Besides, the section APPENDIX A describes a Web application Learning curve simulator developed by the authors for helping readers to get started with practically modeling the learning curve and testing their memory. This application is included in the book.The book will be useful for undergraduate students, graduate students, advanced graduate students, and professors, especially for professors who work on learning in both humans and animals, and those interested in the memory of marijuana users, alcoholics, and those suffering from diabetes and multiple sclerosis, as well as other neurological and psychological diseases and their neurological complications including those after COVID-19. © 2022 by Nova Science Publishers, Inc. All rights reserved.
这本书提供了一个详细的描述应用数学学习曲线建模来分析人类和动物的学习和记忆状态。这本书的目的是使读者能够将自己在学习和记忆研究中获得的知识应用于学习和记忆。作者希望读者能够在这一知识领域取得成功，扩展和推进学习曲线的数学建模，并希望本书可以在这一过程中提供帮助。为此，作者在系统理论的基础上发展了自己的数学模型，并证明了其相对于先前提出的数学模型的优势。作者开发了MS Windows应用程序学习曲线建模工具，以帮助读者从加利福尼亚语言学习测试，雷伊听觉语言学习测试和其他类似的记忆测试的原始学习数据中建模学习曲线。此外，本书还详细介绍了作者开发的Windows和Android应用程序Memory Monitoring Tool，该工具非常适合学习曲线的数学建模。该应用程序旨在揭示记忆障碍的初步迹象。此外，附录A部分描述了作者开发的Web应用程序学习曲线模拟器，以帮助读者开始实际建模学习曲线并测试他们的记忆。这个应用程序包含在书中。这本书对本科生、研究生、高级研究生、教授都很有用，特别是对人类和动物学习的教授和对大麻使用者、酗酒者、糖尿病、多发性硬化症患者的记忆感兴趣的人，以及其他神经和心理疾病以及新冠肺炎后的神经系统并发症的人。©2022 by Nova Science Publishers, Inc。版权所有。
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引用次数: 0
Multiresponse maintenance modeling using desirability function and Taguchi methods 基于期望函数和田口方法的多响应维护建模
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00013-1
S. Rane, R. Pai, Anusha Pai, S. Rane
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引用次数: 0
Markov modeling of multi-state systems with simultaneous component failures/repairs, using an extended concept of component importance 使用扩展的组件重要性概念，对同时存在组件故障/维修的多状态系统进行马尔可夫建模
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00018-0
J. Malinowski
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引用次数: 0
Assessment of fuzzy reliability and signature of series–parallel multistate system 串并联多状态系统模糊可靠性评估与特征
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00006-4
Akshay Kumar, Meenakshi Garia, M. Ram, S. Dimri
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引用次数: 2
Signature-based reliability study of r-within-consecutive-k-out-of-n:  F  systems 基于签名的r-within-连续-k-out- n:  F  系统可靠性研究
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00011-8
I. Triantafyllou
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引用次数: 0
Reliability and maintainability of safety instrumented system 安全仪表系统的可靠性和可维护性
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00005-2
R. Gaonkar, Mahadev V. Verlekar
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引用次数: 2
Mathematical and physical reality of reliability 可靠性的数学和物理现实
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00004-0
J. Knezevic
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引用次数: 0
Series Page: 系列页面:
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00041-6
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引用次数: 0
Methodology to select human reliability analysis technique for repairable systems 可修系统人为可靠性分析技术选择方法
数学建模及其应用
Pub Date : 2021-01-01 DOI: 10.1016/b978-0-12-823323-8.00007-6
G. Sharma, R. Rai
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引用次数: 0
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