Design of An Artificial Neural Network for Assembly Sequence Planning System

Authors

  • Cem Sinanoglu Erciyes University

DOI:

https://doi.org/10.23055/ijietap.2008.15.1.66

Keywords:

Assembly, Binary vector representation, Sequence planning, Neural nets, Contact matrix

Abstract

The problem of assembly sequence generation is complex and has proven to be difficult to solve. Various method have been used in attempting to solve the problem, including mathematical modeling and search techniques. This paper presents an investigation for analyzing assembly sequences of assembly systems with a proposed neural network predictor. The proposed neural network has three layers with recurrent structure. A fast learning algorithm Backpropagation (BP) algorithm is employed for updating the weight parameters of the proposed network.

Author Biography

Cem Sinanoglu, Erciyes University

D

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Published

2022-02-24

How to Cite

Sinanoglu, C. (2022). Design of An Artificial Neural Network for Assembly Sequence Planning System. International Journal of Industrial Engineering: Theory, Applications and Practice, 15(1), 92–103. https://doi.org/10.23055/ijietap.2008.15.1.66

Issue

Vol. 15 No. 1 (2008)

Section

Data Sciences and Computational Intelligence

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