This research intends to establish the dominant prediction potentiality of Feed Forward Back Propagation Networks
over the Adaptive Neuro Fuzzy Inference Systems. The elementary step contains the analysis on the different transfer functions of
Feed Forward Back Propagation Network in order to identify the most convenient transfer function for estimating optical parameters
of Fe doped Glass material: real parts of Absorption Co-efficient and Refractive Index over Wavelength. The motive behind Fe
doping is that it converts Glass material which acts as a Semiconductor to behave as a Superconductor which eventualizes its high
applicability in the field of Telecommunication, Optoelectronics, Laser Based Manufacturing, Biomedical Engineering and more.
Further, Adaptive Neuro Fuzzy Inference System with different membership functions are examined to reach best probable outcome.
The optical properties in the basic experimental dataset are studied using Spin coater and Ultraviolet Spectrometer ranging in
between 29.3 µg/cm2 to 2623 µg/cm2, whereas, only two samples are considered in this research paper among the given five
Published In:IJCSN Journal Volume 7, Issue 3
Date of Publication : June 2018
Pages : 166-181
Tables : 19
Anindita Das Bhattacharjee : started her career in industry
as a trainee software developer for a year. She has done M.
Tech in Computer Science from National Institute of
Technology (NIT), Durgapur. She secured a position of First
Class Second in M. Tech. Currently she is working in Swami
Vivekananda Institute of Science and Technology. She has
been teaching for about 10 years in Computer Science. She
is an author of a book “Artificial Intelligence and Soft
Computing for Beginners” published in 2013 and author of
book chapters in the book “Intelligent Analysis for
Multimedia Information” published by IGI Global and
indexed in Scopus.
Shibashis Mitra : is pursuing B. Tech. Final year student in
Computer Science and Engineering in Swami Vivekananda
Institute of Science and Technology.
Asiya Amreen Zaman : is pursuing B. Tech. Final year
student in Computer Science and Engineering in Swami
Vivekananda Institute of Science and Technology. Secured
3rd position in International Olympiad of Science and 2nd
position in Olympiad of English 2011, New Delhi.
In order to develop a robust decision-making model,
a Hybrid Model (ANFIS) which incorporates the
property of parallelism in computing of a Neural
Network along with inference capability of Fuzzy Logic
Designer is used in the comparative analysis but FFBPN
still outperforms the hybrid model ANFIS due to some
of its inherent behavioural properties and also depends
upon the nature of preferred input dataset.
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