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Titlebook: Intelligent Quality Systems; Duc Truong Pham,Ercan Oztemel Book 1996 Springer-Verlag London Limited 1996 artificial intelligence.control.d

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書目名稱Intelligent Quality Systems
編輯Duc Truong Pham,Ercan Oztemel
視頻videohttp://file.papertrans.cn/470/469879/469879.mp4
叢書名稱Advanced Manufacturing
圖書封面Titlebook: Intelligent Quality Systems;  Duc Truong Pham,Ercan Oztemel Book 1996 Springer-Verlag London Limited 1996 artificial intelligence.control.d
描述Although the tenn quality does not have a precise and universally accepted definition, its meaning is generally well understood: quality is what makes the difference between success and failure in a competitive world. Given the importance of quality, there is a need for effective quality systems to ensure that the highest quality is achieved within given constraints on human, material or financial resources. This book discusses Intelligent Quality Systems, that is quality systems employing techniques from the field of Artificial Intelligence (AI). The book focuses on two popular AI techniques, expert or knowledge-based systems and neural networks. Expert systems encapsulate human expertise for solving difficult problems. Neural networks have the ability to learn problem solving from examples. The aim of the book is to illustrate applications of these techniques to the design and operation of effective quality systems. The book comprises 8 chapters. Chapter 1 provides an introduction to quality control and a general discussion of possible AI-based quality systems. Chapter 2 gives technical information on the key AI techniques of expert systems and neural networks. The use of these t
出版日期Book 1996
關(guān)鍵詞artificial intelligence; control; design; expert system; intelligence; manufacturing; neural networks; prob
版次1
doihttps://doi.org/10.1007/978-1-4471-1498-7
isbn_softcover978-1-4471-1500-7
isbn_ebook978-1-4471-1498-7Series ISSN 1431-0155
issn_series 1431-0155
copyrightSpringer-Verlag London Limited 1996
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Statistical Process Control,ical implies the collection, representation and interpretation of data using statistical methods such as control charts. . refers to any sequence of operations which continuously utilises machines, methods, materials and manpower. . implies taking care of the process by measuring and correcting its
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Integrated Quality Control Systems,ation of XPC, the expert Statistical Process Control system, and neural-network-based control chart pattern recognition modules to yield a hybrid system for effective process monitoring, diagnosis and improvement.
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Experimental Quality Design,parameters, such as the temperature in a furnace or the speed and feed rate in a metal removal process, may be controlled by the manufacturer/designer. They are usually referred to as the . in a manufacturing process. However, many of them, such as environmental factors, may not be under the control
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Statistical Process Control,performance [Owen, 1989; Schilling, 1990]. This chapter gives an overview of SPC and control charting. The chapter describes XPC, an expert system for statistical process control. Finally, it discusses the selection of control chart types and reviews the use of intelligent advisor programs for control chart selection.
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