Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Neuro-fuzzy approach to adaptive control of Siemens-reactor A.G. GORYUNOV, K.A. KOZIN The problem of temperature control rods Siemens-reactor production of polycrystalline silicon is presented. Proposed for the automatic control systems using neuro-fuzzy inference in the circuit to adapt the parameters of the PI-controller and with the direct control as a regulator. The results of research compared with an adaptive control system based on PI-controller. Keywords: polycrystalline silicon, Siemens-reactor, adaptive control system, fuzzy neural network Contacts: E-mail: alex1479@mail.ru, E-mail: kozin@tpu.ru Pp. 21-25.