2004
DOI: 10.1007/978-3-540-28648-6_41
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Forecast and Control of Anode Shape in Electrochemical Machining Using Neural Network

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Cited by 8 publications
(8 citation statements)
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“…Whatever may be the approach, most researchers found that the predicted values by ANN are consistent with the experimental values [1,3,6,[10][11][12][13]15]. Milewski et al [3] reported that ANN model can also adapt to changes in input conditions.…”
Section: A Artificial Neural Network Modellingmentioning
confidence: 88%
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“…Whatever may be the approach, most researchers found that the predicted values by ANN are consistent with the experimental values [1,3,6,[10][11][12][13]15]. Milewski et al [3] reported that ANN model can also adapt to changes in input conditions.…”
Section: A Artificial Neural Network Modellingmentioning
confidence: 88%
“…Analytical mathematical tools are often used to predict the values of dependent parameters if there is an existing mathematical relationship between the dependent and the independent parameters. Artificial neural network is an important tool in predicting the values of dependent parameters where no mathematical model is available [10] or even though some mathematical relationship is available, it is hard to find parameters required by the model [3,11].…”
Section: A Artificial Neural Network Modellingmentioning
confidence: 99%
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“…Its application and advantages have been discussed in many references [16][17][18] (Fausett, 1994;Haykin 2002;Pang et al, 2004). A feed forward BP neural network has novelty been developed to forecast the anode accuracy with an uneven interelectrode gap in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Artificial neural network is used for predicting the values of dependent parameters for which no mathematical relation is available (Parthiban, 2007) or even though some mathematical relationship is available, it is hard to find the numerical parameters (Milewski, 2009). ANN models are widely used in various research fields including quality control (Bahlmann, 1999;Pang, 2004;Fruhwirth, 2007;Parthiban, 2007;Saengrung, 2007;Shang, 2008;Piuleac, 2010;Bhagavatula, 2012), prediction of compositions and properties of metallic and nonmetallic compounds (Wang, 2008;Asadi-Eydivand, 2014;Mohanty, 2014), aluminum reduction cell (Meghlaoui, 1998;Biedler, 2002;Boadu, 2010). However, there are only a few studies available (Berezin, 2002;Bhattacharyay, 2013;Bhattacharyay, 2015) in literature, which are directly related to carbon anodes used for the production of primary aluminum.…”
Section: Introductionmentioning
confidence: 99%