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一种组合函数逼近模型及其应用

A Combined Function Approximation Model and Its Application
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摘要 函数逼近问题一直是模式识别领域的热点,单一函数逼近模型已经能够有效地逼近非线性曲线,但无法实现对多条曲线的同时逼近。本文应用组合函数逼近模型实现了对多条曲线的同时逼近。 Function approximation problem is always a hotpoint of Pattern Recognition. Single function approximation model can approximate nonlinear curves. But it doesn' t focus on multi - function approximation. Tiffs paper tries to combine several function approximation models, and discusses its effect on multi- function approximation.
出处 《计算机与数字工程》 2006年第6期126-128,160,共4页 Computer & Digital Engineering
关键词 函数逼近模型 组合 多类函数 function approximation model, combination, multi - function
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参考文献6

  • 1Vapnik V N.The Nature of Statistical Learning Theory[M].New York:Springer-Verlag,1995
  • 2Gardner G W,Mines E L.Dectection of Vapours and Odours From a Multisensors Array Using Pattern Recognition Techniques[J].Sensors & Actuators.1992,B9:9~ 15
  • 3胡钟山,娄震,杨静宇,刘克,孙靖夷.基于多分类器组合的手写体数字识别[J].计算机学报,1999,22(4):369-374. 被引量:35
  • 4L Xu Adam et al.Mothods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition[J].IEEE Transaction on SMC,1992,22(3):418 ~ 435
  • 5De Kruif,Bas J.,De Vries,Theo J.A.Pruning Error Minimization in Least Squares Support Vector Machines[J].IEEE Trans.on Neural Networks; 2003,14(3):696
  • 6蒋艳凰,杨学军.多层组合分类器研究[J].计算机工程与科学,2004,26(6):67-69. 被引量:8

二级参考文献11

  • 1[1]T G Dietterich. Ensemble Methods in Machine Learning[A]. 1st Int'l Workshop on Multiple Classifier Systems. Lecture Notes in Computer Science[C].Springer-Verlag, 2000, 1857(1): 1-15.
  • 2[2]L Breiman. Bagging Predictors[J]. Machine Learning, 1996, 24(2): 123-140.
  • 3[3]L Xu, C Krzyzak,C Suen. Methods of Combining Multiple Classifiers and Their Applications to Handwriting Recognition[J]. IEEE Trans on Systems, Man and Cybernetics, 1992, 22(3): 418-435.
  • 4[4]E Allwein, R E Schapire, Y Singer. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifier[J]. Journal of Machine Learning Research, 2000,1:113-141.
  • 5[5]D Wolpert. Stacked Generalization[J]. Neural Network, 1992, 5(2): 241-260.
  • 6[6]R Kohavi,D H Wolpert. Bias Plus Variance Decomposition for Zero-One Loss Functions[A]. Proc of the 13th Int'l Conf on Machine Learning[C].1996.275-283.
  • 7[7]C L Blake, C J Merz. UCI Repository of Machine Learning Databases[Z].University of California, Department of Information and Computer Science, 1998.
  • 8Lee Seong Whan,IEEE Trans Pattern Anal Machine Intell,1996年,18卷,6期,648页
  • 9Liao Simon,IEEE Trans Pattern Anal Machine Intell,1996年,18卷,3期,254页
  • 10Trier Oivind,Pattern Recognition,1996年,29卷,4期,641页

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