%0 Conference Paper %1 MallBent99 %A Mallinson, Hugh %A Bentley, Peter %B Computational Integration for Modelling, Control and Automation '99 %C Hotel Marriott, Vienna, Austria %D 1999 %E Mohammadian, Masoud %I IOS Press %K algorithms, classification fuzzy genetic programming, %T Evolving Fuzzy Rules for Pattern Classification %U http://www.cs.ucl.ac.uk/staff/P.Bentley/MABEC1.pdf %V 1 %X This paper describes the use of a Hybrid Fuzzy-Genetic Programming system to discover patterns in large databases. It does this by evolving a series of variablelength fuzzy rules which generalise from a training set of labelled classes. Numerous novel techniques, including the use of genotypes in Genetic Programming, two new genetic crossover operators, and the processes of Modal Evolution, Modal Reevolution and Nested Evolutionary Search are described. Experimental results show that the system is able to classify data from the Wisconsin Breast Cancer database correctly 95% of the time. %@ 90-5199-473-7

@inproceedings{MallBent99, abstract = {This paper describes the use of a Hybrid Fuzzy-Genetic Programming system to discover patterns in large databases. It does this by evolving a series of variablelength fuzzy rules which generalise from a training set of labelled classes. Numerous novel techniques, including the use of genotypes in Genetic Programming, two new genetic crossover operators, and the processes of Modal Evolution, Modal Reevolution and Nested Evolutionary Search are described. Experimental results show that the system is able to classify data from the Wisconsin Breast Cancer database correctly 95% of the time.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Hotel Marriott, Vienna, Austria}, author = {Mallinson, Hugh and Bentley, Peter}, biburl = {https://www.bibsonomy.org/bibtex/2bbac1fe1081350914f0d007985f13892/brazovayeye}, booktitle = {Computational Integration for Modelling, Control and Automation '99}, editor = {Mohammadian, Masoud}, interhash = {50bcd09206237d972bf7873ab086a76c}, intrahash = {bbac1fe1081350914f0d007985f13892}, isbn = {90-5199-473-7}, keywords = {algorithms, classification fuzzy genetic programming,}, month = {17-19 February}, notes = {CIMCA'99 http://www.gscit.monash.edu.au/conferences/cimca99/ UCI Wisconsin Breast Cancer}, publisher = {IOS Press}, size = {8 pages}, timestamp = {2008-06-19T17:46:13.000+0200}, title = {Evolving Fuzzy Rules for Pattern Classification}, url = {http://www.cs.ucl.ac.uk/staff/P.Bentley/MABEC1.pdf}, volume = 1, year = 1999 }