Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
24 Using Evolvable Regressors to Partition Data
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This manuscript examines permitting multiple populations of evolvable regressors to compete to be the best model for the largest number of data points. Competition between populations enables a natural process of specialization that implicitly partitions the data. This partitioning technique uses function-stack based regressors and has the ability to discover the natural number of clusters in a data set via a process of sub-population collapse.