| 1 |
Self-learning energy management for plug-in hybrid electric bus considering expert experience and generalization performance
Guo HQ, Zhao FR, Guo HL, Cui QH, Du EL, Zhang K
International Journal of Energy Research, 44(7), 5659, 2020 |
| 2 |
Uncoupling nNOS-PSD-95 in the ACC can inhibit contextual fear generalization
Qin C, Bian XL, Cai CY, Chen C, Zhou Y, Lin YH, Tao Y, Wu HY, Chang L, Luo CX, Zhu DY
Biochemical and Biophysical Research Communications, 513(1), 248, 2019 |
| 3 |
Optimal photovoltaic capacity of large-scale hydro-photovoltaic complementary systems considering electricity delivery demand and reservoir characteristics
Zhang YS, Ma C, Lian JJ, Pang XL, Qiao YN, Chaima E
Energy Conversion and Management, 195, 597, 2019 |
| 4 |
System identification using kernel-based regularization: New insights on stability and consistency issues
Pillonetto G
Automatica, 93, 321, 2018 |
| 5 |
Vented gas explosion overpressure prediction of obstructed cubic chamber by Bayesian Regularization Artificial Neuron Network - Bauwens model
Shi JH, Li JD, Hao H, Pham TM, Zhu Y, Chen GM
Journal of Loss Prevention in The Process Industries, 56, 209, 2018 |
| 6 |
Multicomponent phase behavior predictions using QSPR-generalized NRTL and UNIQUAC models
Dadmohammadi Y, Gebreyohannes S, Neely BJ, Gasem KAM
Fluid Phase Equilibria, 409, 318, 2016 |
| 7 |
A hybrid numerical-neural-network model for building simulation: A case study for the simulation of unheated and uncooled indoor temperature
Lu T, Lu XS, Kibert C
Energy and Buildings, 86, 723, 2015 |
| 8 |
A generalized drag Law for heterogeneous gas-solid flows in fluidized beds
Dai QT, Chen C, Qi HY
Powder Technology, 283, 120, 2015 |
| 9 |
Modeling gas-adsorption-induced swelling and permeability changes in coals
Chareonsuppanimit P, Mohammad SA, Robinson RL, Gasem KAM
International Journal of Coal Geology, 121, 98, 2014 |
| 10 |
MIN MAX GENERALIZATION FOR DETERMINISTIC BATCH MODE REINFORCEMENT LEARNING: RELAXATION SCHEMES
Fonteneau R, Ernst D, Boigelot B, Louveaux Q
SIAM Journal on Control and Optimization, 51(5), 3355, 2013 |
