Skip to main content
Article thumbnail
Location of Repository

Applications of Neural Network in Manufacturing

By Ramesh Rajagopalan and Purnima Rajagopalan

Abstract

Neural network is a model of brains’s cognitive process. Neural network originated as a model of how the brain works. Neural network research has its beginnings in psychology. Today neural network methods are being used to solve numerous problems associated with manufacturing operations. A review of neural network applications to problems in production and operations management is presented. Applications reviewed in this paper include character, image andpattern recognition, managerial decision making, manufacturing cell design, tool condition monitoring, real-time robot scheduling and statistical process control. Methods and structures of neural network are explained

Year: 1996
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.8543
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://csdl.computer.org/comp/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.