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...
محفوظ في:
المؤلف الرئيسي: | Soleh, Ardiansyah |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2015
|
الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Towards Forecasting Revenue Collection Using Multi Layer Perceptron (MLP)
بواسطة: Mohd Afandi, Md Amin
منشور في: (2004) -
Forecasting foreign exchange rates for CAD/USD using artificial neural network
بواسطة: Md. Dalil, Rafidah Hanem
منشور في: (2009) -
Comparative study on Malay Signal processing recognition using multi-layer perceptron and recurrent neural networks /
بواسطة: Kordi, Afshan
منشور في: (2012) -
Malay speaker verification based on isolated vowels using multi-layer perceptron /
بواسطة: Tan, Jian Ding
منشور في: (2011) -
Improving intrusion detection for better anomaly detection based on x-means clustering and multi-layer perceptron classification
بواسطة: Abbas, Borkan Ahmed
منشور في: (2016)