Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

## 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]

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

Copyright © 2012. All Rights Reserved.