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Neuro-fuzzy system for technological process control (Abiyev, Rahib H.,)
Bibliographical information (record 264106)
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Neuro-fuzzy system for technological process control
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
Int inst informatics & systemics,
Edition:
 2002.
Classification:
 TK5103.2
Detailed notes
    - In this paper the implementation of a fuzzy system for technological process control using parallel architecture and teaming capabilities of neural networks is considered. The structure and algorithms of neuro-fuzzy inference system are described. To train unknown coefficients of the system, the supervised teaming algorithm is used. As a result of learning, the rules of neuro-fuzzy system are formed. Neuro-fuzzy system is applied to control a dynamic plant. Using desired time response characteristics of the system the synthesis of neuro-fuzzy controller for technological process control is carried out. The simulation result of neuro-fuzzy control system is compared with the simulation results of control systems based on PID- and neural controller. It is found that neuro-fuzzy control system has better control performance than the others.
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Status
Library
Section
EOL-40
Item available
NEU Grand LibraryOnline (TK5103.2 .N48 2002)
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