Estimation of physical properties of calcined-alumina using swarm evolved neural net

Author

Nayak, A.K. ; Rai, S.C. ; Misra, B.B. ; Satapathy, B.K. ; Kumari, Krishna V.

Author_Institution

Dept. of Comput. Sci. & Eng., Silicon Inst. of Technol., Bhubaneswar, India

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1264

Lastpage

1269

Abstract

Evaluation of certain properties of calcined alumina or special grade alumina is necessary and important to its manufactures. Generally it is determined in the laboratories using different instrumental and manual methods, which is cost and time intensive. In the present work, evolving neural network has been used for the estimation of a property given few others. To evolve the neural network model for this purpose, particle swarm optimization technique has been studied and applied. Simulation results show the performance of the model is acceptable for the manufacturing industries.

Keywords

alumina; chemistry computing; manufacturing industries; neural nets; particle swarm optimisation; simulation; calcined-alumina; manufacturing industries; neural network; particle swarm optimization; special grade alumina; swarm evolved neural net; Aluminum; Artificial neural networks; Crystallization; Ignition; Laboratories; Manufacturing; Neural networks; Particle swarm optimization; Temperature; Testing; Artificial Neural Network; Calcined Alumina; Particle Swarm Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on

Conference_Location

Coimbatore

Print_ISBN

978-1-4244-5053-4

Type

conf

DOI

10.1109/NABIC.2009.5393756

Filename

5393756