Sintering finish point intelligent control, Proceedings of 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2006. ,

Intelligent coordinating control between burn-through point and mixture bunker level in an iron ore sintering process, J. Adv. Comput. Int. Int. Inf, vol.21, pp.140-147, 2017. ,

BTP prediction of sintering process by using multiple models, 2014. ,

Intelligent optimal control for lead-zinc sintering process state, Trans. Nonferrous Metals Soc. China, vol.16, pp.975-981, 2006. ,

Neural-network-based integrated model for predicting burn-through point in lead-zinc sintering process, J. Process. Control, vol.22, pp.925-934, 2012. ,

An intelligent control system based on prediction of the burn-through point for the sintering process of an iron and steel plant, Expert Syst. Appl, vol.39, pp.5971-5981, 2012. ,

A fuzzy control strategy of burn-through point based on the feature extraction of time series trend for iron ore sintering process, IEEE Trans. Ind. Inform, pp.1-9, 2019. ,

T-S Fuzzy logic based modeling and robust control for burning-through point in sintering process, IEEE Trans. Ind. Electron, vol.64, pp.9378-9388, 2017. ,

An application of adaptive genetic-neural algorithm to sinter's BTP process, IEEE International Conference on Machine Learning and Cybernetics, pp.3356-3360, 2005. ,

, Prediction system of burning through point (BTP) based on adaptive pattern clustering and feature map, International Conference on Machine Learning and Cybernetics, pp.3089-3094, 2006.

Data-driven prediction of sintering burn-through point based on novel genetic programming, J.Iron. Steel Res. Int, vol.17, pp.1-10, 2010. ,

Application research based on GA-FWA in prediction of sintering burning through point, International Conference on Computer, pp.378-385, 2018. ,

Estimation of burn-through point in the sinter process, 14th International Conference on Control, Automation and Systems, pp.1531-1533, 2014. ,

Hierarchical intelligent control system and its application to the sintering process, IEEE Trans. Ind. Inf, vol.9, pp.190-196, 2013. ,

A dynamic subspace model for predicting burn-through point in iron sintering process, Inform. Sci, pp.1-12, 2018. ,

Design and application of generalized predictive control strategy with closed-loop identification for burn-through point in sintering process, Control. Eng. Practice, vol.20, pp.1065-1074, 2012. ,

Soft sensing of the burning through point in iron-making process, IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 2016), 2016. ,

Intelligent integrated control for burn-through point to carbon efficiency optimization in iron ore sintering process, IEEE Trans. Control Syst. Technol, 2019. ,

Introduction to grey system, J.GreySyst, vol.1, pp.1-24, 1989. ,

The indirect measurement of tensile strength of material by the grey prediction model GMC(1, n), Meas. Sci. Technol, vol.16, pp.1322-1328, 2005. ,

Iron ore sintering process model to study local permeability control, COMSOL Conference, 2017. ,

The indirect measurement of tensile strength for a higher temperature by the new model IGDMC(1, n), Measurement, J. Int Meas. Conf, vol.41, pp.662-675, 2008. ,

The indirect measurement of tensile strength by the new model FGMC (1, n), Measurement, J. Int. Meas. Conf, vol.44, pp.1884-1897, 2011. ,

The deterministic grey dynamic model with convolution integral DGDMC(1, n), Appl. Math. Model, vol.33, pp.3498-3510, 2009. ,

An optimized grey dynamic model for forecasting the output of high-tech industry in China, Math Probl. Eng, 2014. ,

Particle swarm optimization, Neural Networks, 1995. ,