@Article{jiot.2020.010226,
AUTHOR = {Qiong Wang, Xiaokan Wang},
TITLE = {Parameters Optimization of the Heating Furnace Control Systems Based on BP Neural Network Improved by Genetic Algorithm},
JOURNAL = {Journal on Internet of Things},
VOLUME = {2},
YEAR = {2020},
NUMBER = {2},
PAGES = {75--80},
URL = {http://www.techscience.com/jiot/v2n2/40132},
ISSN = {2579-0080},
ABSTRACT = {The heating technological requirement of the conventional PID 
control is difficult to guarantee which based on the precise mathematical model,
because the heating furnace for heating treatment with the big inertia, the pure 
time delay and nonlinear time-varying. Proposed one kind optimized variable 
method of PID controller based on the genetic algorithm with improved BP 
network that better realized the completely automatic intelligent control of the 
entire thermal process than the classics critical purporting (Z-N) method. A 
heating furnace for the object was simulated with MATLAB, simulation results 
show that the control system has the quicker response characteristic, the better 
dynamic characteristic and the quite stronger robustness, which has some 
promotional value for the control of industrial furnace.},
DOI = {10.32604/jiot.2020.010226}
}