Mingzhi Huang

Xiaohong Chen, Tao Zhang, Mingzhi Huang, 2017, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

Hybrid artificial neural network genetic algorithm technique for modeling chemical oxygen demand removal in anoxic/oxic process

Huiping Zhang, Yan Wang, Kang Hu, 2011, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

A hybrid genetic--neural algorithm for modeling the biodegradation process of DnBP in AAO system.

Huiping Zhang, Yan Wang, Wenjie Guo, 2011, Bioresource technology.

Key factors of eddy current separation for recovering aluminum from crushed e-waste.

Jie Zheng, Zhenming Xu, Tao Zhang, 2017, Waste management.

Faulty sensor detection, identification and reconstruction of indoor air quality measurements in a subway station

ChangKyoo Yoo, Hongbin Liu, Mingzhi Huang, 2011, 2011 11th International Conference on Control, Automation and Systems.

Prediction of effluent quality of a paper mill wastewater treatment using an adaptive network-based fuzzy inference system

Yan Wang, Huiping Zhang, Xiaofei Sun, 2011, Appl. Soft Comput..

A software sensor model based on hybrid fuzzy neural network for rapid estimation water quality in Guangzhou section of Pearl River, China

Mingzhi Huang, Chao Zhang, Chunshan Zhou, 2018, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

Modelling steady state intercellular isotopic distributions with isotopomer decomposition units

Zejian Wang, Yingping Zhuang, Siliang Zhang, 2019, Comput. Chem. Eng..

Research on the Partner Selection of Virtual Enterprise Based on Self-adaptive Genetic Algorithm

Mingzhi Huang, Chengwei Fan, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

Multivariate statistical monitoring of subway indoor air quality using dynamic concurrent partial least squares

Mingzhi Huang, Hongbin Liu, ChangKyoo Yoo, 2019, Environmental Science and Pollution Research.

Multi‐objective optimisation for design and operation of anaerobic digestion using GA‐ANN and NSGA‐II

Wei Han, Mingzhi Huang, Yongwen Ma, 2016 .

Modeling of a paper-making wastewater treatment process using a fuzzy neural network

ChangKyoo Yoo, Yan Wang, Mingzhi Huang, 2012, Korean Journal of Chemical Engineering.

Residue levels and spatial distribution of phthalate acid esters in water and sediment from urban lakes of Guangzhou, China

Mingzhi Huang, Chao Zhang, Mingzhi Huang, 2018, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

Degradation behavior of dimethyl phthalate in an anaerobic/anoxic/oxic system.

Mingzhi Huang, Jujun Ruan, Mingzhi Huang, 2016, Journal of environmental management.

Stormwater Runoff Pollutant Loading Distributions and Their Correlation with Rainfall and Catchment Characteristics in a Rapidly Industrialized City

Yan Wang, Mingzhi Huang, Yongwen Ma, 2015, PloS one.

Monitoring of Anoxic/Oxic Process for Nitrogen and Chemical Oxygen Demand Removal Using Fuzzy Neural Networks

Mingzhi Huang, Yongwen Ma, Jinquan Wan, 2009, Water environment research : a research publication of the Water Environment Federation.

Modeling a Paper-Making Wastewater Treatment Process by Means of an Adaptive Network-Based Fuzzy Inference System and Principal Component Analysis

Yan Wang, Mingzhi Huang, Yongwen Ma, 2012 .

Occurrence, distribution and seasonal variation of five neonicotinoid insecticides in surface water and sediment of the Pearl Rivers, South China.

Mingzhi Huang, Jujun Ruan, Chao Zhang, 2019, Chemosphere.

A GA-Based Neural Fuzzy System for Modeling a Paper Mill Wastewater Treatment Process

ChangKyoo Yoo, Yan Wang, Mingzhi Huang, 2011 .

Occurrence and distribution of neonicotinoid insecticides in surface water and sediment of the Guangzhou section of the Pearl River, South China.

Mingzhi Huang, Jujun Ruan, Renren Wu, 2019, Environmental pollution.

Enhancing dissolved oxygen control using an on-line hybrid fuzzy-neural soft-sensing model-based control system in an anaerobic/anoxic/oxic process

Yan Wang, Mingzhi Huang, Yongwen Ma, 2013, Journal of Industrial Microbiology & Biotechnology.

Prediction model of DnBP degradation based on BP neural network in AAO system.

Yan Wang, Mingzhi Huang, Yongwen Ma, 2011, Bioresource technology.