Examples of com.heatonresearch.aifh.aco.ContinuousACO

com.heatonresearch.aifh.aco.ContinuousACO

This class implements continuous ant colony optimization (CACO)

References:

Training Neural Networks with Ant Colony Optimization, Arun Pandian, Spring, 2013

Krzysztof Socha and Christian Blum. “An ant colony optimization algorithm for continuous optimization: application to feed-forward neural network training”, in Springer London (2007).

M.Dorigo, V.Maniezzo, and A.Colorni. “Ant System: Optimization by a colony of cooperating agents”, in IEEE Transactions on Systems, Man, and Cybernetics, 1996.


            final List<BasicData> trainingData = ds.extractSupervised(0, 4, 4, 3);


            ScoreFunction score = new ScoreRegressionData(trainingData);


            ContinuousACO train = new ContinuousACO(network, score, 30);


            performIterations(train, 100000, 0.05, true);


            train.finishTraining();


            queryOneOfN(network, trainingData, species);




        } catch (Throwable t) {

Examples of com.heatonresearch.aifh.aco.ContinuousACO

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