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This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks.The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable part of it is of necessity devoted to the basic theory which is introduced as briefly as possible within the large scope of the field. Also, although the book focuses on neural networks, they cannot be divorced from their statistical framework and this is discussed in length. The book is therefore a blend of basic theory and some of the most recent advances in the practical application of neural networks.
Theory and Methods of Metallurgical Process Integration analyzes the basic elements and characteristics of steel manufacturing processes and operation, also proposing a theory of precise dynamic design and integration of steel plants. Following several case studies, a new generation steel manufacturing process is proposed. Through deep description and analysis of the dynamic operation of the steel manufacturing process, this book can help readers understand that the study of dynamic integration for the "mass-energy-time-space-information" during the steel manufacturing process has to be highly emphasized in order to further promote optimization of the steel manufacturing process and plant. - Extends the research methodology and future direction of the metallurgical process - Concentrates on the study of the physical essence and the running rules of the dynamic operation of the steel manufacturing process - Summarizes six rules for the dynamic operation of the steel manufacturing process for newly-built or existing steel plants, which provides useful guidance for engineering design, production technology, and production and technology management