Rule extraction from multi-layer perceptron neural network using decision tree for currency exchange rates forecasting

Neural network can be used in acquiring hidden knowledge in datasets. However, knowledge acquired by neural network was presented in its topology, the weights on the connections and by the activation functions of the hidden and output nodes. These representations are not easily understandable since...

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Détails bibliographiques
Auteur principal:	Soleh, Ardiansyah
Format:	Thèse
Langue:	anglais
Publié:	2015
Sujets:	QA75 Electronic computers. Computer science
Accès en ligne:	http://umpir.ump.edu.my/id/eprint/12627/19/Rule%20extraction%20from%20multi-layer%20perceptron%20neural%20network%20using%20decision%20tree%20for%20currency%20exchange%20rates%20forecasting.pdf

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