Pap-smear classification using efficient second order neural network training algorithms

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3025, Issue , 2004, Pages 230-245

  Ampazis, Nikolaos ^a   Dounias, George ^a   Jantzen, Jan ^b  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; ITERATIVE METHODS; PERSONNEL TRAINING; PROBLEM SOLVING; SET THEORY; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLASSIFICATION (OF INFORMATION); CONSTRAINED OPTIMIZATION; LEAST SQUARES APPROXIMATIONS; MOMENTUM; NEURAL NETWORKS; OPTIMIZATION;

ADAPTIVE MOMENTUM; INFERIOR PERFORMANCES; PAP-SMEAR CLASSIFICATION; TEST CLASSIFIERS; CLASSIFICATION RESULTS; COMPUTATIONAL INTELLIGENCE TECHNIQUES; CONSTRAINED OPTIMI-ZATION PROBLEMS; LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT METHOD; NEURAL NETWORK TRAINING; NONLINEAR LEAST SQUARES PROBLEMS;

NEURAL NETWORKS; ALGORITHMS;

EID: 9444268686     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24674-9_25     Document Type: Conference Paper

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