Uses of Interface
org.neuroph.util.norm.Normalizer

Packages that use Normalizer
org.neuroph.core.learning Provides base classes for neural network learning algorithms. 
org.neuroph.util.norm Provides data normalization techniques 
 

Uses of Normalizer in org.neuroph.core.learning
 

Methods in org.neuroph.core.learning with parameters of type Normalizer
 void DataSet.normalize(Normalizer normalizer)
           
 

Uses of Normalizer in org.neuroph.util.norm
 

Classes in org.neuroph.util.norm that implement Normalizer
 class DecimalScaleNormalizer
          Decimal scaling normalization method, which normalize data by moving decimal point in regard to max element in training set (by columns) Normalization is done according to formula: normalizedVector[i] = vector[i] / scaleFactor[i]
 class MaxMinNormalizer
          MaxMin normalization method, which normalize data in regard to min and max elements in training set (by columns) Normalization is done according to formula: normalizedVector[i] = (vector[i] - min[i]) / (max[i] - min[i])
 class MaxNormalizer
          Max normalization method, which normalize data in regard to max element in training set (by columns) Normalization is done according to formula: normalizedVector[i] = vector[i] / max[i]
 



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