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Titlebook: Mathematical Approaches to Software Quality; Gerard O‘Regan Book 2006 Springer-Verlag London 2006 Cleanroom.Dijkstra.Formal Methods.Hoare.

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書目名稱Mathematical Approaches to Software Quality
編輯Gerard O‘Regan
視頻videohttp://file.papertrans.cn/627/626006/626006.mp4
概述Comprehensive introduction to mathematical approaches to software quality.Broad overview of popular formal specification methods such as Z and VDM.Introduction to Cleanroom and software reliability.Di
圖書封面Titlebook: Mathematical Approaches to Software Quality;  Gerard O‘Regan Book 2006 Springer-Verlag London 2006 Cleanroom.Dijkstra.Formal Methods.Hoare.
描述.This book provides a comprehensive introduction to various mathematical approaches to achieving high-quality software. An introduction to mathematics that is essential for sound software engineering is provided as well as a discussion of various mathematical methods that are used both in academia and industry...The mathematical approaches considered include:...Z specification language..Vienna Development Methods (VDM)..Irish school of VDM (VDM)..approach of Dijkstra and Hoare..classical engineering approach of Parnas..Cleanroom approach developed at IBM..software reliability, and..unified modelling language (UML)...Additionally, technology transfer of the mathematical methods to industry is considered...The book explains the main features of these approaches and applies mathematical methods to solve practical problems. Written with both student?and professional in mind, this book assists the reader in applying mathematical methods to solve practical problems that are relevant to software engineers..
出版日期Book 2006
關(guān)鍵詞Cleanroom; Dijkstra; Formal Methods; Hoare; Irish VDM; Logic; Mathematics; Software Engineering; Software En
版次1
doihttps://doi.org/10.1007/1-84628-435-9
isbn_softcover978-1-84996-564-4
isbn_ebook978-1-84628-435-9
copyrightSpringer-Verlag London 2006
The information of publication is updating

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could be used for the highest levels of control systems. We have examined the performance of different neural networks in traditional image recognition tasks and in problems that appear in micromechanical m978-3-642-42611-7978-3-642-02535-8
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could be used for the highest levels of control systems. We have examined the performance of different neural networks in traditional image recognition tasks and in problems that appear in micromechanical m978-3-642-42611-7978-3-642-02535-8
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s:.?The backpropagation algorithm is discussed in Chapter 2..Many traditional machine learning models can be understood as special cases of neural networks. Chapter 3 explores the connections between traditional machine learning and neural networks. Support vector machines, linear/logistic regressio
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nalytics are covered.?The chapters of this book span three categories:..The basics of neural networks: .?Many traditional machine learning models can be understood as special cases of neural networks.? An emphasis is placed in the first two chapters on understanding the relationship between traditio
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ring process optimization, while associative-projective neural n- works and networks like ART could be used for the highest levels of control systems. We have examined the performance of different neural networks in traditional image recognition tasks and in problems that appear in micromechanical m
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