An application of artificial neural network and particle swarm optimisation technique for modelling and optimisation of centreless grinding process

International Journal of Productivity and Quality Management ◽

10.1504/ijpqm.2017.082637 ◽

2017 ◽

Vol 20 (3) ◽

pp. 344 ◽

Author(s):

Prosun Mandal ◽

Subhas Chandra Mondal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Grinding Process ◽

Artificial Neural ◽

Optimisation Technique

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An application of artificial neural network and particle swarm optimisation technique for modelling and optimisation of centreless grinding process

International Journal of Productivity and Quality Management ◽

10.1504/ijpqm.2017.10003288 ◽

2017 ◽

Vol 20 (3) ◽

pp. 344

Author(s):

Prosun Mandal ◽

Subhas Chandra Mondal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Grinding Process ◽

Artificial Neural ◽

Optimisation Technique

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Hybrid modelling routine for metal‐oxide TFTs based on particle swarm optimisation and artificial neural network

Electronics Letters ◽

10.1049/el.2019.4001 ◽

2020 ◽

Vol 56 (9) ◽

pp. 453-456

Author(s):

You Peng ◽

Wanling Deng ◽

Weijing Wu ◽

Zhi Luo ◽

Junkai Huang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Metal Oxide ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Hybrid Modelling ◽

Artificial Neural ◽

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Erratum to: Application of particle swarm optimisation in artificial neural network for the prediction of tool life

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-017-0135-2 ◽

2017 ◽

Vol 90 (5-8) ◽

pp. 2411-2411 ◽

Author(s):

U. Natarajan ◽

R. Saravanan ◽

V. M. Periasamy

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Tool Life ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Artificial Neural

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Design of artificial neural network using particle swarm optimisation for automotive spring durability

Journal of Mechanical Science and Technology ◽

10.1007/s12206-019-1003-9 ◽

2019 ◽

Vol 33 (11) ◽

pp. 5137-5145

Author(s):

Y. S. Kong ◽

S. Abdullah ◽

D. Schramm ◽

M. Z. Omar ◽

S. M. Haris

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Artificial Neural

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Prediction of software inter-failure times using artificial neural network and particle swarm optimisation models

International Journal of Software Engineering Technology and Applications ◽

10.1504/ijseta.2015.075629 ◽

2015 ◽

Vol 1 (2/3/4) ◽

pp. 222

Author(s):

Manjubala Bisi ◽

Neeraj Kumar Goyal

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Failure Times ◽

Artificial Neural

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Optimal Power Tracker for Stand-Alone Photovoltaic system using Artificial Neural Network (ANN) and Particle Swarm Optimisation (PSO)

Renewable Energy and Power Quality Journal ◽

10.24084/repqj10.338 ◽

2012 ◽

pp. 440-445 ◽

Author(s):

B.C. Kok ◽

H.H. Goh ◽

H.G. Chua

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Photovoltaic System ◽

Optimal Power ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Face recognition using combined binary particle swarm optimisation and hidden layer of artificial neural network

International Journal of Advanced Intelligence Paradigms ◽

10.1504/ijaip.2019.102964 ◽

2019 ◽

Vol 14 (1/2) ◽

pp. 70

Author(s):

S.G. Charan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Face Recognition ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Artificial Neural ◽

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Particle swarm optimisation for evolving artificial neural network

SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166) ◽

10.1109/icsmc.2000.884366 ◽

2002 ◽

Author(s):

Chunkai Zhang ◽

Huihe Shao ◽

Yu Li

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Artificial Neural

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Hybrid modified evolutionary particle swarm optimisation-time varying acceleration coefficient-artificial neural network for power transformer fault diagnosis

Measurement ◽

10.1016/j.measurement.2016.04.052 ◽

2016 ◽

Vol 90 ◽

pp. 94-102 ◽

Author(s):

Hazlee Azil Illias ◽

Xin Rui Chai ◽

Ab Halim Abu Bakar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Diagnosis ◽

Power Transformer ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Time Varying ◽

Acceleration Coefficient ◽

Artificial Neural ◽

Transformer Fault

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Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques

PLoS ONE ◽

10.1371/journal.pone.0129363 ◽

2015 ◽

Vol 10 (6) ◽

pp. e0129363 ◽

Author(s):

Hazlee Azil Illias ◽

Xin Rui Chai ◽

Ab Halim Abu Bakar ◽

Hazlie Mokhlis

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Particle Swarm ◽

Particle Swarm Optimisation ◽

Fault Prediction ◽

Incipient Fault ◽

Artificial Neural ◽

Optimisation Techniques

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