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Multilayer perceptron

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abstract A multilayer perceptron is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate output. It is a modification of the standard linear perceptron in that it uses three or more layers of neurons (nodes) with nonlinear activation functions, and is more powerful than the perceptron in that it can distinguish data that is not linearly separable, or separable by a hyperplane. G1
hasPhotoCollection http://www4.wiwiss.fu-berlin.de/flickrwrappr/photos/Multilayer_perceptron G1
reference http://www.cimne.com/flood G1
reference http://www.e-nuts.net/en/feed-forward-neural-networks G1
type algorithm G1
comment A multilayer perceptron is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate output. It is a modification of the standard linear perceptron in that it uses three or more layers of neurons (nodes) with nonlinear activation functions, and is more powerful than the perceptron in that it can distinguish data that is not linearly separable, or separable by a hyperplane. G1
label Multilayer perceptron G1
sameAs http://rdf.freebase.com/ns/guid.9202a8c04000641f8000000006ae1b28 G1
sameAs http://umbel.org/umbel/ne/wikipedia/Multilayer_perceptron G1
subject Classification algorithms G1 G3
subject Neural networks G1 G4
retrievalTimestamp 1265801472953 G2
sourceURL Multilayer perceptron G2
page http://en.wikipedia.org/wiki/Multilayer_perceptron G1
is redirect of http://dbpedia.org/resource/Multi-layer_perceptron G1
is sameAs of http://mpii.de/yago/resource/Multilayer_perceptron G1

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G3. http://dbpedia.org/resource/Category:Classification_algorithms
G4. http://dbpedia.org/resource/Category:Neural_networks

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