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

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...

Full description

Bibliographic Details
Main Author: Soleh, Ardiansyah
Format: Thesis
Language:English
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/12627/
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

Similar Items

Similar Items