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...

書誌詳細
第一著者:	Soleh, Ardiansyah
フォーマット:	学位論文
言語:	英語
出版事項:	2015
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	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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