Control of the technological process of the waveguide paths induction soldering in the framework of Industry 4.0

[1]  I. Sergachev,et al.  Induction devices for assembly soldering in electronics , 2012 .

[2]  Chin-Teng Lin,et al.  Neural-Network-Based Fuzzy Logic Control and Decision System , 1991, IEEE Trans. Computers.

[3]  Manigandan Thathan,et al.  Modelling and Simulation of Artificial Neural Network Based Harmonic Elimination Technique for Solar-Fed Cascaded Multilevel Inverter , 2013 .

[4]  Norman Mariun,et al.  Adaptive Neural Network with Heuristic Learning Rule for Series Active Power Filter , 2013 .

[5]  R. Devanathan,et al.  Fault Diagnosis of PMSM Using Artificial Neural Network , 2014 .

[6]  Adi Soeprijanto,et al.  Reactualization of a Modified Single Machine to Infinite Bus Model to Multimachine System Steady State Stability Analysis Studies Using Losses Network Concepts and Radial Basis Function Neural Network (RBFNN) , 2017 .

[7]  V S Tynchenko,et al.  The automated system for technological process of spacecraft's waveguide paths soldering , 2016 .

[8]  N. Mahendran,et al.  Implementation of Neuro-Fuzzy Controller to Reduce Output Voltage Ripple of KY Boost Converter , 2013 .

[9]  Mohamed Mostefai,et al.  An Intelligent Maximum Power Point Tracker for Photovoltaic Systems Based on Neural Network , 2013 .

[10]  V V Kukartsev,et al.  Use of artificial neural networks to correct non-standard errors of measuring instruments when creating integral joints , 2018 .

[11]  Hamed Mojallali,et al.  Neural Network Based Modeling and Predictive Position Control of Traveling Wave Ultrasonic Motor Using Chaotic Genetic Algorithm , 2013 .