A new hybrid method logistic regression and feedforward neural network for lung cancer data

Mathematical Problems in Engineering

Volumn 2012, Issue , 2012, Pages

  Tunç, Taner ^a  

^a ONDOKUZ MAYIS UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION FUNCTIONS; DATA CLASSIFICATION PROBLEMS; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; HYBRID APPROACH; HYBRID METHOD; LOGISTIC REGRESSIONS; LUNG CANCER; MODEL-BASED METHOD; NON-LINEAR MODEL; NON-LINEAR MODEL STRUCTURE; STATISTICAL TECHNIQUES;

BIOLOGICAL ORGANS; DISEASES; FEEDFORWARD NEURAL NETWORKS; LOGISTICS; NONLINEAR SYSTEMS;

REGRESSION ANALYSIS;

EID: 84871840490     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/241690     Document Type: Article

References (9)

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