Data Mining in Metallurgical Product Quality Control

Author: Xing Jinsheng
Publisher:
Publish Date: 2004-06-01
Features: This book is a specialized work that systematically introduces data control in metallurgical product quality control. It includes the framework for mining process data in metallurgical product quality, data marts, characteristics of artificial neural networks, quality models based on artificial neural networks, fuzzy neural network quality models, new product and process design based on multiple product models, product quality control software based on fuzzy neural networks, and application examples of the aforementioned aspects. This book is suitable for graduate students, teachers, and scientific and technical personnel engaged in production process control and management in majors such as automatic control, computer science, process control, and management science and engineering at universities.