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https://www.sciencedirect.com/science/article/pii/S0378775306000966
Sep 29, 2006 · This paper reports a modeling study of proton exchange membrane fuel cell (PEMFC) performance by using a support vector machine (SVM). A PEMFC is a nonlinear, multi-variable system that is hard to model by conventional methods.Cited by: 77
https://www.sciencedirect.com/science/article/abs/pii/S0378775306000966
Sep 29, 2006 · This paper reports a modeling study of proton exchange membrane fuel cell (PEMFC) performance by using a support vector machine (SVM). A PEMFC is a nonlinear, multi-variable system that is hard to model by conventional methods.Cited by: 77
https://www.researchgate.net/publication/229351406_Modeling_a_PEMFC_by_a_support_vector_machine
This paper reports a modeling study of proton exchange membrane fuel cell (PEMFC) performance by using a support vector machine (SVM). A PEMFC is a nonlinear, multi-variable system that is hard to ...
https://www.researchgate.net/publication/303600262_Modeling_of_commercial_proton_exchange_membrane_fuel_cell_using_support_vector_machine
Support vector machine (SVM) has also gained popularity as a non-parametric and non-linear powerful tool to be implemented for estimation of target variables in high-dimensional regression cases.
https://www.deepdyve.com/lp/elsevier/modeling-a-pemfc-by-a-support-vector-machine-sE5Fmybbrx
Sep 29, 2006 · Modeling a PEMFC by a support vector machine Modeling a PEMFC by a support vector machine Zhong, Zhi-Dan; Zhu, Xin-Jian; Cao, Guang-Yi 2006-09-29 00:00:00 This paper reports a modeling study of proton exchange membrane fuel cell (PEMFC) performance by using a support vector machine (SVM). A PEMFC is a nonlinear, multi-variable system that is hard to model by conventional …
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000006102520
When current is drawn from a proton exchange membrane fuel cell (PEMFC), it is critical that the reacted oxygen is replenished rapidly by the air supply system to avoid oxygen starvation and damage. This paper proposes a support vector machine (SVM) model based model predictive control (MPC) strategy to maintain a necessary level of the oxygen excess ratio during abrupt changes in the stack ...
https://www.atlantis-press.com/proceedings/icimm-15/25564
In this paper, a nonlinear offline model of proton exchange membrane fuel cell (PEMFC) is built by using a support vector regression machine (SVRM) based on particle swarm optimization (PSO) algorithm. During the process of modeling, the PSO aims to optimize the parameters of SVRM. Compared with the artificial neural network (ANN) approach, the prediction...Author: Jiangling Tang, Jian Huang
https://researchonline.jcu.edu.au/40440/1/40440-lu-2013-thesis.pdf
Modelling and Control of Proton Exchange Membrane Fuel Cell . Thesis submitted by . Jun Lu BEng(Hons) ... Proton exchange membrane fuel cell (PEMFC) has been considered as one of the most ... a function of various operating conditions through regression analysis of support vector machine (SVM). Further, the empirical modelling approach is ...
https://www.worldscientific.com/doi/abs/10.1142/S0217984912501217
In this paper, a model using support vector regression (SVR) approach combining with particle swarm optimization (PSO) algorithm for its parameter optimization was developed to modeling and predicting the electrical power of proton exchange membrane fuel cell.Cited by: 12
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000001527642
A new method of the predictive control for proton exchange membrane fuel cell (PEMFC) based on support vector regression machine is presented and the support vector regression machine is constructed. The process plant is modeled on SVRM. The predictive control law is obtained by using the particle swarm optimization (PSO).The simulation and the results show that the support vector …
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