Enhanced BFGS quasi-newton backpropagation models on MCCI data

• 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/62831/1/52831_Enhanced%20BFGS%20quasi-newton%20backpropagation_article.pdf; http://irep.iium.edu.my/62831/2/52831_Enhanced%20BFGS%20quasi-newton%20backpropagation_scopus.pdf; http://irep.iium.edu.my/62831/; http://www.iaescore.com/journals/index.php/IJEECS/article/viewFile/9735/7597
• Institution: Universiti Islam Antarabangsa Malaysia

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...