TY - JOUR
T1 - Automatic diagnosis with genetic algorithms and case-based reasoning
AU - Garrell I Guiu, J. M.
AU - Golobardes I Ribé, E.
AU - Bernadó I Mansilla, E.
AU - Llorà I Fàbrega, X.
PY - 1999/10
Y1 - 1999/10
N2 - This article describes the application of Machine Learning (ML) techniques to a real world problem: the Automatic Diagnosis (classification) of Mammary Biopsy Images. The techniques applied are Genetic Algorithms (GA) and Case-Based Reasoning (CBR). The article compares our results with previous results obtained using Neural Networks (NN). The main goals are: to efficiently solve classification problems of such a type and to compare different alternatives for Machine Learning. The article also introduces the systems we developed for solving this kind of classification problems: Genetic Based Classifier System (GeB-CS) for a GA approach, and Case-Based Classifier System (CaB-CS) for a CBR approach.
AB - This article describes the application of Machine Learning (ML) techniques to a real world problem: the Automatic Diagnosis (classification) of Mammary Biopsy Images. The techniques applied are Genetic Algorithms (GA) and Case-Based Reasoning (CBR). The article compares our results with previous results obtained using Neural Networks (NN). The main goals are: to efficiently solve classification problems of such a type and to compare different alternatives for Machine Learning. The article also introduces the systems we developed for solving this kind of classification problems: Genetic Based Classifier System (GeB-CS) for a GA approach, and Case-Based Classifier System (CaB-CS) for a CBR approach.
UR - http://www.scopus.com/inward/record.url?scp=0033339424&partnerID=8YFLogxK
U2 - 10.1016/S0954-1810(99)00009-6
DO - 10.1016/S0954-1810(99)00009-6
M3 - Article
AN - SCOPUS:0033339424
SN - 0954-1810
VL - 13
SP - 367
EP - 372
JO - Artificial Intelligence in Engineering
JF - Artificial Intelligence in Engineering
IS - 4
ER -