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A Fuzzy Graph Recurrent Neural Network Approach for the Prediction of Radial Overcut in Electro Discharge Machining

  • Amrut Ranjan JenaEmail author
  • D. P. Acharjya
  • Raja Das
Conference paper
  • 20 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 127)

Abstract

manufacturing of goods rely on its design methodology and the process parameters. the parameters used in manufacturing process play an important role to build a quality product. initially heuristic techniques are used for parameter selection. many researchers conducted research to predict the radial overcut using neural networks. besides, fuzzy neural network gains more popularity due to presence of fuzzy system and neural network. in this paper fuzzy graph recurrent neural network architecture is used for modelling and predicting the radial over cut for an electro discharge machining information system.

Keywords

Recurrent neural network Fuzzy graph Mean square error Radial overcut Electro discharge machining 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringVITVelloreIndia
  2. 2.School of Advanced ScienceVITVelloreIndia

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