Industrial Engineering & Management

H.M. Mohiuddin

Publications

• Research Article
  An Application of Artificial Neural Network (ANN) Process to Assess Risk in Cement Industries in Bangladesh
  Author(s): Syimun Hasan Mehidi, Nayan Chakrabarty, H.M. MohiuddinSyimun Hasan Mehidi, Nayan Chakrabarty, H.M. Mohiuddin
  
  Today large and mid-size companies have more complex operations which involve different types of risk and are difficult to identify the risk. To extract these risks and analyze it scientifically, a professional risk assessment tool namely ANN is most appropriate and flexible network technology. This paper briefly presents Artificial Neural Networks (ANNs), universal and highly flexible functions, approximations for any data as an application to assess risk in cement industries for instance HOLCIM CEMENT BANGLADESH LIMITED has been selected to assess risks. To assess the risks a threelayer feed forward architecture of 10 risk factors which are independent and their strength of relationship was used as relative weight of input variables. Six neurons of hidden layer and two neurons of output layer with back propagation algorithm were designed using Neural Network Toolbox of MATLAB. The i.. Read More»
  DOI: 10.4172/2169-0316.1000138

  Abstract PDF