Performance analysis of support vector machines classifiers in breast cancer mammography recognition

Neural Computing and Applications

Volumn 24, Issue 5, 2014, Pages 1163-1177

  Azar, Ahmad Taher ^a   El Said, Shaimaa Ahmed ^b  

^a MISR UNIVERSITY FOR SCIENCE AND TECHNOLOGY   (Egypt)

^b Zagazig University ^*  (Egypt)

Author keywords

Breast cancer diagnosis; Finite Newton method for Lagrangian support vector machine (NSVM); Lagrangian support vector machines (LSVM); Linear programming support vector machines (LPSVM); Proximal support vector machine (PSVM); Smooth support vector machine (SSVM); Soft computing

Indexed keywords

BREAST CANCER DIAGNOSIS; LAGRANGIAN SUPPORT VECTOR MACHINES; PROGRAMMING SUPPORT; PROXIMAL SUPPORT VECTOR MACHINES; SMOOTH SUPPORT VECTOR MACHINE;

DISEASES; LAGRANGE MULTIPLIERS; LINEAR PROGRAMMING; NEWTON-RAPHSON METHOD; SOFT COMPUTING;

SUPPORT VECTOR MACHINES;

EID: 84900583659     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1324-4     Document Type: Article

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