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Article
Open AccessA review of supersonic molecular beam injection for plasma fueling and physical studies in magnetic fusion devices
In magnetic confinement fusion devices, supersonic molecular beam injection (SMBI) is commonly used as a fueling method, which has also performed well in physical studies since it was first proposed on the HL-...
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Article
Progress of Experimental Studies in the HL-2A Tokamak
During the last several years, the HL-2A experiment has made significant progress in the following areas: (1) lower-hybrid wave (LHW) heating and current drive, (2) plasma confinement and turbulent transport, ...
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Article
Overview of the Recent Study on ELM Mitigation Physics with Different External Actuators on HL-2A Tokamak
Mitigation of Edge localized mode(ELM) has been achieved with different external actuators such as lower hybrid wave (LHW), mixture supersonic molecular beam injection(SMBI), and laser blow-off(LBO) impurity s...
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Article
Open AccessOn the interplay between neoclassical tearing modes and nonlocal transport in toroidal plasmas
This Letter presents the first observation on the interplay between nonlocal transport and neoclassical tearing modes (NTMs) during transient nonlocal heat transport events in the HL-2A tokamak. The nonlocalit...
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Article
High-pressure behaviors of carbon nanotubes
In this paper, we have reviewed the experimental and theoretical studies on pressure-induced polygonization, ovalization, racetrack-shape deformation, and polymerization of carbon nanotubes (CNTs). The corresp...
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Article
Phase transformation of melamine at high pressure and temperature
Pyrolysis experiments of melamine were carried out under high pressure of 5 GPa and different temperatures. The crystal structure, chemical bonding, and composition of the melamine pyrolysate were studied by X...
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Chapter
Neural Network-Based Integral Sliding Mode Control for Nonlinear Uncertain Systems
This chapter presents a new integral sliding surface with an adaptive radial basis function (RBF) neural network. In addition to the advantages of no reaching phase and nullifying matched uncertainties, more i...
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Chapter and Conference Paper
An On-Line LearningAlgorithm of Parallel Mode for MLPN Models
An on-line learning algorithm in parallel mode for multi-layer perceptron network (MLPN) model is proposed. The MLPN is on-line trained directly in a parallel mode. The on-line learning algorithm is based on t...
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Article
A new structure adaptation algorithm for RBF networks and its application
An adaptation algorithm is developed for radial basis function network (RBFN) in this paper. The RBFN is adapted on-line for both model structure and parameters with measurement data. When the RBFN is used to ...
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Article
Adaptation of diagonal recurrent neural network model
An adaptive direct recurrent neural network model is developed for nonlinear dynamic system modelling in this paper. The model adaptation is achieved with the extended Kalman filter (EKF). A novel recursive al...
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Article
Turbostratic carbon nitride prepared by pyrolysis of melamine
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Article
A Localized Forgetting Method for Gaussian RBFN Model Adaptation
In this paper a localized forgetting method is proposed for on-line adaptation of Gaussian radial basis function network models. It is realised that the commonly used exponential forgetting applies to the past...
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Article
Neural network control of multivariable processes with a fast optimisation algorithm
A radial basis function (RBF) neural network model based predictive control scheme is developed for multivariable nonlinear systems in this paper. A fast convergence algorithm is proposed and employed in multi...
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Article
CNx/TiNy films prepared by ion-beam sputtering
CN x /TiN y multilayers were prepared by ion-beam sputtering and analyzed by X-ray diffraction (XRD), transmission electron microscopy (TEM), s...
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Article
Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process
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Article
Chemical synthesis of crystalline hexagonal B-C-N compound
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Article
Synthesis of graphite-C3N4 crystal by ion beam sputtering
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Article
A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks
A recursive orthogonal least squares (ROLS) algorithm for multi-input, multi-output systems is developed in this paper and is applied to updating the weighting matrix of a radial basis function network. An ill...