id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_57rrnauwwnbp3hjv4m5ye6kck4	Lingli Zhu	Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality	2019	4	.pdf	application/pdf	2592	423	75	Application of Improved BP Neural Network in Hybrid Control Model of Lime model of real time feedback and control parameters. timely feedback to the lime production control system, to achieve the purpose of real-time control of the quality of lime. in hybrid control model of lime quality. The production control process of the rotary kiln is the products quality prediction results and adjusting control correction information, lime rotary kiln control system for The product quality control model flow chart of lime the product quality prediction model is activated according to The control parameters (Y) of the lime rotary kiln are of product quality control. product quality information and control parameters product quality information and control parameters Product quality information and control the production process by the control parameters to adjust the information on the quality of the product data. quality of the products and to achieve timely control 	./cache/work_57rrnauwwnbp3hjv4m5ye6kck4.pdf	./txt/work_57rrnauwwnbp3hjv4m5ye6kck4.txt