hopfield-0.1.0.1: Hopfield Networks, Boltzmann Machines and Clusters

Safe Haskell	None

Hopfield.SuperAttractors

Documentation

type Degree = IntSource

type PatternCombiner a = a -> Degree -> [Pattern]Source

powersOfTwo :: Degree -> [Degree]Source

buildNetworks :: a -> [Degree] -> LearningType -> PatternCombiner a -> [HopfieldData]Source

oneSuperAttr :: PatternCombiner [Pattern]Source

twoSuperAttrOneFixed :: Degree -> PatternCombiner [Pattern]Source

allSuperAttr :: PatternCombiner [Pattern]Source

aggregateCombiners :: [PatternCombiner [Pattern]] -> PatternCombiner [[Pattern]]Source

p1 :: Pattern Source

p2 :: Pattern Source

q1 :: Pattern Source

oneSuperNets :: LearningType -> [HopfieldData]Source

allSuperNets :: LearningType -> [HopfieldData]Source

buildMultiPhaseNetwork :: LearningType -> [PatternCombiner [Pattern]] -> [HopfieldData]Source

retrainNormalWithOneSuper :: LearningType -> [HopfieldData]Source

retrainOneSuperWithNormal :: LearningType -> [HopfieldData]Source

retrainOneSuperWithOneSuper :: LearningType -> [HopfieldData]Source

retrainAllSuperWithNormal :: LearningType -> [HopfieldData]Source

retrainAllSuperWithOneSuper :: LearningType -> [HopfieldData]Source

measureMultiBasins :: MonadRandom m => BasinMeasure m a -> [HopfieldData] -> Pattern -> [m a]Source