Jianjun Wang

发表

Nonlinear dynamic modeling of a simple flexible rotor system subjected to time-variable base motions

Fulei Chu, Liqiang Chen, Jianjun Wang, 2017 .

New study on neural networks: the essential order of approximation

Zongben Xu, Jianjun Wang, Zongben Xu, 2010, Neural Networks.

Estimation of Approximating Rate for Neural Network inLwp Spaces

Jianjun Wang, Chan-Yun Yang, Jia Jing, 2012, J. Appl. Math..

Neural networks and the best trigomometric approximation

Zongben Xu, Jianjun Wang, 2011, J. Syst. Sci. Complex..

On recovery of block-sparse signals via mixed l 2 / l q ( 0 < q ≤ 1 ) normminimization

Zongben Xu, Jianjun Wang, Yao Wang, 2013 .

The essential order of approximation for nearly exponential type neural networks

Zongben Xu, Jianjun Wang, Zongben Xu, 2006, Science in China Series F: Information Sciences.

Estimation of Covering Number in Learning Theory

Jianjun Wang, Hua Huang, Zhangtao Luo, 2009, 2009 Fifth International Conference on Semantics, Knowledge and Grid.

Block-sparse signal recovery via ℓ 2 / ℓ 1 - 2 minimisation method

Zili Zhang, Wendong Wang, Jianjun Wang, 2017, IET Signal Process..

Dynamic model updating for bolted flange joints in the pipe structure

Jianjun Wang, Xue Zhai, Qing-gang Zhai, 2014, SIMULTECH 2014.

ξ - α ; Estimator for Fuzzy Support Vector Machine

Jianjun Wang, Chan-Yun Yang, 2012 .

Generalization Performance of ERM Algorithm with Geometrically Ergodic Markov Chain Samples

Jianjun Wang, Bin Zou, Jie Xu, 2009, 2009 Fifth International Conference on Natural Computation.

Approximation of algebraic and trigonometric polynomials by feedforward neural networks

Jianjun Wang, Chan-Yun Yang, Baili Chen, 2011, Neural Computing and Applications.

Non-convex block-sparse compressed sensing with redundant dictionaries

Wendong Wang, Jianjun Wang, Chunyan Liu, 2017, IET Signal Process..

Global Robust Stability for Neural Networks with Delays

Jianjun Wang, Zhonghua Li, 2008, 2008 International Symposium on Intelligent Information Technology Application Workshops.

A nonconvex penalty function with integral convolution approximation for compressed sensing

Feng Zhang, Wendong Wang, Jianjun Wang, 2019, Signal Process..

Approximation Bound of Mixture Networks in Lomegap Spaces

Deyu Meng, Zongben Xu, Jianjun Wang, 2006, ISNN.

Several reliability-related mechanics problems in Flip-Chip packages

Jianjun Wang, Zhengfang Qian, Sheng Liu, 1998 .

Deterministic Analysis of Weighted BPDN With Partially Known Support Information pdf

Wendong Wang, Jianjun Wang, Jianjun Wang, 2019, ArXiv.

Sharp sufficient condition of block signal recovery via l 2/l 1-minimisation

Feng Zhang, Wendong Wang, Jianjun Wang, 2017, IET Signal Process..

Confirming robustness of fuzzy support vector machine via ξ-α bound

Feng-Li Lian, Jianjun Wang, Chan-Yun Yang, 2015, Neurocomputing.

Active Contour Based on Local Statistic Information and an Attractive Force for Ultrasound Image Segmentation

Jianjun Wang, Jianjun Yuan, Jianjun Wang, 2017 .

L2-loss twin support vector machine for classification

Jianjun Wang, Hua Huang, Bin-Bin Gao, 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

Coherence-Based Performance Guarantee of Regularized 𝓁1-Norm Minimization and Beyond pdf

Jianjun Wang, Zhi Wang, Wendong Wang, 2018, ArXiv.

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification

Yao Wang, Jianjun Wang, Chan-Yun Yang, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization

Jing Zhang, Wendong Wang, Jianjun Wang, 2016, Int. J. Wavelets Multiresolution Inf. Process..

Derivatives of Multivariate Bernstein Operators and Smoothness with Jacobi Weights

Shukai Duan, Jianjun Wang, Jia Jing, 2012, J. Appl. Math..

Constructive Trigonometric Function Approximation of Neural Networks

Zongben Xu, Jianjun Wang, Jia Jing, 2007, Third International Conference on Semantics, Knowledge and Grid (SKG 2007).

Imbalanced SVM Learning with Margin Compensation

Jianjun Wang, Jr-Syu Yang, Chan-Yun Yang, 2008, ISNN.

Block-sparse compressed sensing with partially known signal support via non-convex minimisation

Zongben Xu, Jianjun Wang, Yao Wang, 2016, IET Signal Process..

An Image Adaptive Steganogaphy Algorithm Based on Sparse Representation and Entropy

Chunmei Yu, Jianjun Wang, 2013, ISCA 2013.

Machining with Flexible Manipulators: Critical Issues and Solutions

Hui Zhang, Jianjun Wang, Zengxi Pan, 2006 .

Study on Pedestrian Twice-Crossing Behavior Based on Game Theory

Fang Zhou, Jianjun Wang, 2019 .

Approximation Bounds by Neural Networks in Lpomega

Zongben Xu, Weijun Xu, Jianjun Wang, 2004, ISNN.

Verfahren und Vorrichtung zur Entwicklung eines Softwareprogramms

Thomas A. Fuhlbrigge, Jianjun Wang, Zhongxue Gan, 2005 .

Margin calibration in SVM class-imbalanced learning

Jianjun Wang, Jr-Syu Yang, Chan-Yun Yang, 2009, Neurocomputing.

Constructive Estimation of Approximation for trigonometric Neural Networks

Weihua Xu, Jianjun Wang, Bin Zou, 2012, Int. J. Wavelets Multiresolution Inf. Process..

The perturbation analysis of nonconvex low-rank matrix robust recovery pdf

Feng Zhang, Jianjun Wang, Jianwen Huang, 2020, ArXiv.

How to Measure the Essential Approximation Capability of a FNN

Jianjun Wang, Bin Zou, Baili Chen, 2009, 2009 Fifth International Conference on Natural Computation.

Robust Signal Recovery With Highly Coherent Measurement Matrices

Zili Zhang, Wendong Wang, Jianjun Wang, 2017, IEEE Signal Processing Letters.

Quasimodes instability analysis of uncertain asymmetric rotor system based on 3D solid element model

Jianjun Wang, Yanfei Zuo, Weimeng Ma, 2017 .

Restricted p-isometry properties of nonconvex block-sparse compressed sensing

Zongben Xu, Jianjun Wang, Yao Wang, 2014, Signal Process..

A perturbation analysis of nonconvex block-sparse compressed sensing

Wendong Wang, Jianjun Wang, Chan-Yun Yang, 2015, Commun. Nonlinear Sci. Numer. Simul..