Enhanced BFGS quasi-newton backpropagation models on MCCI data

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Enhanced BFGS quasi-newton backpropagation models on MCCI data

Neurocomputing is widely implemented in time series area, however the nearness of exceptions that for the most part happen in information time arrangement might be hurtful to the information organize preparing. This is on the grounds that the capacity to consequently discover any examples without...

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Bibliographic Details
Main Authors:	Md. Ghani, Nor Azura, Kamaruddin, Saadi, Mohamed Ramli, Norazan, Musirin, Ismail, Hashim, Hishamuddin
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science (IAES) 2017
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/62831/ http://irep.iium.edu.my/62831/1/52831_Enhanced%20BFGS%20quasi-newton%20backpropagation_article.pdf http://irep.iium.edu.my/62831/2/52831_Enhanced%20BFGS%20quasi-newton%20backpropagation_scopus.pdf

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