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The whole idea behind performing ZCA was to make input less redundant, since most of the adjacent pixels of an image have similar values. It decorrelates the features keeping their variance same. …
Forked from sudeeparoydey/GenealogyTree
Particle swarm is a population-based algorithm. In this respect it is similar to the genetic algorithm. A collection of individuals called particles move in steps throughout a region. At each step,…
This is an implementation of 3 layered MLP using rough-set-theoretic concepts for initial weight encoding
The code implements back propagation algorithm with fuzzified inputs. It uses k-fold cross validation to enhance the accuracy of classification
Forked from NeuralFuzzy/RoughSetTheoryQuickReduct
QuickReduct is an algorithm for feature selection that computes degree of dependencies of a set of features on another set
Autoencoder is a network that learns to encode itself. The neural network is trained to copy its input at the output layer. In this code, the two autoencoder layers are stacked together and the ove…
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