INTRODUCING NEURAL-NETWORK ALGORITHMS INTO AN AUTOMATED SYSTEM DESIGNED TO CONTROL METALLURGICAL PROCESSES

作     者：Kadyrov, E. D. Koteleva, N. I. 

作者机构：Tech Univ Plekhanov St Petersburg State Min Inst St Petersburg Russia 

出 版 物：《METALLURGIST》 (冶金学家)

年 卷 期：2011年第54卷第11-12期

页      面：799-802页

核心收录：

学科分类：0806[工学-冶金工程] 08[工学] 

主　　题：neural network neural-network algorithms control system metallurgical processes 

摘      要：Systems for controlling metallurgical processes are often developed by using special methods of control theory, including adaptive, neural-network, and optimization methods. These techniques are used because of the increasing complexity of the problems that are now being solved in the control process. This article describes one approach to introducing neural-network algorithms into the structure of systems that control metallurgical operations.