Authenticating ANN-NAR and ANN-NARMA models utilizing bootstrap techniques

• Main Authors: Md. Ghani, Nor Azura, Ahmad Kamaruddin, Saadi, Mohamed Ramli, Norazan, Selamat, Ali
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: Springer, Cham 2017
• Subjects: RB Pathology; RD Surgery; RG Gynecology and obstetrics
• Online Access: http://irep.iium.edu.my/56975/19/56975_Authenticating%20ANN-NAR%20and%20ANN-NARMA_complete.pdf; http://irep.iium.edu.my/56975/2/56975_Authenticating%20ANN-NAR_SCOPUS.pdf; http://irep.iium.edu.my/56975/13/56975%20Authenticating%20ANN-NAR%20and%20ANN-NARMA%20WOS.pdf; http://irep.iium.edu.my/56975/; https://link.springer.com/chapter/10.1007/978-3-319-54472-4_71

Neural system procedures have a colossal reputation in the space of gauging. In any case, there is yet to be a sure strategy that can well accept the last model of the neural system time arrangement demonstrating. Thus, this paper propose a way to deal with accepting the said displaying utilizing ti...