Open AccessAssessment of Reliability Factors in Chocolate Manufacturing Plant using Boolean Function Technique and Neural Networking.
Author(s) -
Surbhi Gupta,
Anjali Naithani,
Anil Chandra
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1988.1081219
Subject(s) - reliability (semiconductor) , artificial neural network , boolean function , computer science , matlab , boolean algebra , function (biology) , reliability engineering , artificial intelligence , machine learning , algorithm , engineering , power (physics) , physics , quantum mechanics , evolutionary biology , biology , operating system
A simple approach of solving a mathematical model depicting the reliability of a system is by doing its mathematical formulation using Boolean algebra technique and neural networking approach in simplication of complex system. Various reliability parameters are computed on applying Boolean and neural network approach. The author focus in this paper is to calculate the cost and factors of reliability of chocolate manufacturing plant using feed forward neural network approach using MATLAB.