Hou Ying

       

Personal profile

Name: Hou Ying

Gender: Female

Degrees: Ph.D.

Title: Assistant Research Fellow

E-mail: houying@bjut.edu.cn

Research Areas

1. Intelligent optimization method and technology;

2. Cooperative optimal control system;

3. Intelligent control of complex industrial process;

4. Artificial Intelligence

Publications

[1] QIAO Junfei, HOU Ying, ZHANG Lu, HAN Honggui. Adaptive Fuzzy Neural Network Control of Wastewater Treatment Process with Multiobjective Operation. Neurocomputing, 2017(275): 383-393. (SCI: 000418370200038, IF: 3.317)

[2] QIAO Junfei, HOU Ying, HAN Honggui. Optimal Control for Wastewater Treatment Process based on an Adaptive Multi-objective Differential Evolution Algorithm. Neural Computation & Application, 2017(1): 1-14. (SCI, EI: 20174304309810, IF: 2.505)

[3] HOU Ying, HAN Honggui, QIAO Junfei. Adaptive Multi-objective Differential Evolution Algorithm Based on the Dynamic Parameters Adjustment. Control and Decision, 2017, 32(11): 1985-1990. (EI: 20181404973932) (In Chinese)

[4] HAN Honggui, ZHANG Lu, HOU Ying, QIAO Junfei. Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. IEEE Transactions on Neural Networks & Learning Systems, 2016, 27(2):402-415. (SCI, EI: 15721756, IF: 6.108)

[5] HAN Honggui, LU Wei, HOU Ying, QIAO Junfei. An Adaptive-PSO-Based Self-Organizing RBF Neural Network. IEEE Transactions on Neural Networks & Learning Systems, 2016(29):104-117. (SCI, EI: 17468823, IF: 6.108)

[6] QIAO Junfei, HOU Ying, HAN Honggui, LI Wenjing. Method to predict the effluent ammonia-nitrogen concentration based on a recurrent self-organizing neural network. (U. S. Patent No.: US 9, 633, 307. Date of Patent: Apr. 25, 2017.)