Kniha Intelligent Quality Systems Duc T. Pham

Intelligent Quality Systems

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer London Ltd
Dostupnosť: Skladom u dodávateľa
Odosielame za 5-8 dní
99.98
Although the tenn quality does not have a precise and universally accepted definition, its meaning i...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2011
Stránok
201
EAN
9781447115007
ISBN
1447115007
Enbook ID
06794675
Vydavateľ
Hmotnosť
335
Rozmery
155 x 235 x 12

Kompletný popis

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 techniques, singly and in a combined hybrid fonn, to realise intelligent Statistical Process Control (SPC) systems for quality improvement is the subject of Chapters 3-5. Chapter 6 covers experimental design and the Taguchi method which is an effective technique for designing quality into a product or process. The application of expert systems and neural networks to facilitate experimental design is described in this chapter.

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