Index
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S
- s - Variable in class nnetwork.Node
- save2file() - Method in class nnetwork.Topology
-
UNDER DEVELOPMENT
- selection() - Method in class ga.GA
-
Selection
- setbestfitness(double) - Method in class ga.Best
-
set best fitness
- setbestphenotype(int[]) - Method in class ga.Best
-
set best solution (phenotype)
- setbias(double) - Method in class nnetwork.Node
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Set bias.
- setclustersize(int) - Method in class nnetwork.ANNMain
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set size of substrate nodes cluster
- setclustersize(int) - Method in class nnetwork.NNetwork
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set size of substrate nodes cluster
- setew(double[]) - Method in class nnetwork.NNetwork
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Set link weights.
- setfitness(double) - Method in class ga.Chromosome
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Set fitness.
- setgenes(int[]) - Method in class ga.Chromosome
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Set phenotype.
- setid(int) - Method in class nnetwork.Node
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Set node ID.
- setparams() - Method in class ga.Init_ga
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Set optimization parameters.
- setsettings(File) - Method in class ga.Init_ga
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Loads settings from file.
- setsettingsfile(String) - Method in class ga.Init_ga
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Set GA settings file
- setstoredmodel(String) - Method in class nnetwork.ANNMain
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set model storage filename
- settingsfile - Variable in class ga.Init_ga
- settype(String) - Method in class nnetwork.Node
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Set node type.
- Sigm - Class in functions
- Sigm() - Constructor for class functions.Sigm
- sqerr - Variable in class nnetwork.NNetwork
- sqerror(Double[], int) - Method in class nnetwork.NNetwork
-
Compute square error.
- storedata(String) - Method in class datasets.Makeaset
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store generated dataset in a file
- storedmodel - Variable in class ga.GA
- storedmodel - Variable in class nnetwork.ANNMain
- storemodel(String) - Method in class ga.GA
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Store model.
- strtomap(String[]) - Method in class ga.Chromosome
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String to map.
- subnettype - Variable in class nnetwork.ANNMain
- superbest(int) - Method in class ga.GA
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Stores the best solution of the current generation for the next stage of the algorithm.
- superbest2(int) - Method in class ga.GA
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Stores the best solution of the current generation for the next stage of the algorithm.
- supergen - Variable in class ga.GA
- supergenerations - Variable in class ga.Init_ga
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