基本情况

王建军,教授,重庆市数学会理事,重庆市统计学重点学科学术带头人。主持并完成国家自然科学基金天元基金,中国博士后基金、教育部科学技术重点项目各一项,主研并完成两项国家自然科学基金,两项省部级项目;现主持国家自然科学基金面上项目、国家青年科学基金和重庆市自然科学基金各一项,参与国家重点基础研究发展计划“基于视觉认知的非结构化信息处理理论与关键技术”(973项目)。曾多次应邀为 Journal of Computational and Applied MathematicsSCI期刊)、《计算机学报》、《工程数学学报》、International Conference on Natural Computation, International Symposium on Neural Networks, International Conference on Network Computing and Information Security, International Conference on Multimedia and Signal Processing等知名期刊和国际会议审稿,并多次出席相关重要国际学术会议和活动。

 

教育背景

20081月至200912月,西安交通大学博士后

200612月,西安交通大学理学院应用数学博士(西安交通大学优秀博士毕业生)

 

研究领域

智能计算、神经网络、压缩传感、机器学习、函数逼近论

 

论文发表

已在国际神经网络协会会刊Neural Networks、《中国科学》(信息科学)、Neural computing & applications、《计算机学报》、Journal of Wavelets, Multiresolution and Information Processing、《数学年刊》、Journal of System Science & ComplexityTaiwan Journal of Mathematics NeurocomputingMonatshefte fur mathematik、《系统科学与数学》等知名专业期刊和国际会议上发表36篇重要学术论文(其中SCIEI检索22篇,国家权威期刊6篇)。


  1. Wang J.J, Xu Z.B, New study of neural networks: the essential order of approximation. Neural Networks, 2010, 23: 618-624
  2. Xu Z.B., Wang J.J., The essential order of approximation for nearly exponential neural networks. Science in China Series F-Information Sciences, 2006, 49(4): 446-460, Springer-Verlag.
  3. Xu Z.B., Wang J.J., and Meng D.Y., Approximation bound of mixture networks in L(w, p) spaces. Lecture Notes in Computer Science, Germany: Springer-Verlag 2006, 3971:60-65
  4. Han G.D., Wang J.J., Multiple positive radial solutions of elliptic equations in an exterior domain. Monatshefte furmathematik, 2006, 148(3): 217-228
  5. Wang J.J., Xue Y.C., Li F.J., Stechkin-marchaud type inequalities with Jacobi weights for Bernstein operators. Journal of Applied mathematics and computing, 2007, 24(1-2): 343-355
  6. Wang J.J., Xu Z.B., Approximation with Jacobi weights by Baskakov operators.Taiwanese Journal of Mathematics, 2009, 13(1): 157-168
  7. Wang J.J., Xu Z.B and Jing J., Constructive approximation method of polynomial by neural networks. International conference on congnitive neurodynamics(2007), Springer Science Business Media B.V.2008, 1033-1037
  8. Wang J.J., Zou B., Chen B.L., How to measure the essential approximation capability of a FNN. 2009 Fifth International Conference on Natural Computation, IEEE Computer Society, 394-398.
  9. Wang J.J., Han G.D., Xu Z.B., Derivatives of Bernstein operators and smoothness with Jacobi. Taiwanese Journal of Mathematics. 2010, 14(4): 1491-1500
  10. Wang J.J., Xu Z.B., Neural networks and the best Trigonometric approximation; Journal of Systems Science and Complexity; 2011, Vol24, Iss 2 pp 401-412