| 書目名稱 | Intelligent Quality Systems |
| 編輯 | Duc Truong Pham,Ercan Oztemel |
| 視頻video | http://file.papertrans.cn/470/469879/469879.mp4 |
| 叢書名稱 | Advanced Manufacturing |
| 圖書封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-1-4471-1498-7 |
| isbn_softcover | 978-1-4471-1500-7 |
| isbn_ebook | 978-1-4471-1498-7Series ISSN 1431-0155 |
| issn_series | 1431-0155 |
| copyright | Springer-Verlag London Limited 1996 |
|Archiver|手機版|小黑屋|
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