18 results with keyword: 'optimization blast furnace parameters using artificial neural network'
Therefore a multi input multi output (MIMO) artificial neural network (ANN) model has been developed to predict the parameters namely raceway adiabatic flame temperature
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The input parameters used are Oxygen enrichment, Blast volume, Blast pressure, Top gas pressure, Hot Blast temperature, steam injection rate, cold blast flow, cold
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Tehranian (2002) has argued that media in transitional nations need to gain credibility to serve as forces of peace and civil society. The researchers developed a civil society
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The data’s used for ANN model development are based on actual experimental investigations- effect of 6.9-% oxygen enrichment of 75.3%-75.4% of theoretically required air preheated
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This thesis focuses on using neural networks to model and predict the Hot Metal Temperature, Silicon Content, Slag Basicity, and Sinter in a blast furnace..
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Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2006, Article ID 90652, Pages 1?11 DOI 10 1155/WCN/2006/90652 SeGrid A Secure Grid
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Licensed under Creative Common Page 17 On the factors that influence a bank workers decision to demand for life insurance or not, gender, marital status,
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In this paper, we proved some fixed point theorems in intuitionistic fuzzy metric spaces applying the properties of weakly compatible mapping and satisfying the concept of
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Balasubramaniam in 2014 performed on the Optimization and modelling of Electrical Discharge Machining (EDM) Parameters Using Artificial Neural Network with
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vocabulary = { 'and': 0, 'is': 1 'one': 2, x[1] = ”The sun is shining” 'shining': 3, 'sun': 4, x[2] = ”The weather is sweet” [3] 'sweet': 5, x[3] = ”The sun is shining, x =
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The result of this research can conclude that the Activity Based Management Change Order variable (ABMCO) and Economic Value Added (EVA) have a significant effect on the
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(4) The fixed point theorem of Cho, Zhou, Guo [2] is generalized and extended from three-step iterations with errors in asymptotically nonexpansive mapping multi-step Noor fixed
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Individuals involved in Black and White heterosexual interracial marriages experience certain issues that are not present in the marriages of same-race couples such as racism and
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This thesis discuss the Optimization of surface roughness in milling using Artificial Neural Network (ANN).Response Surface Methodology (RSM) and Neural Network
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Over all algorithms: The proposed algorithm for Artificial Neural Network based connection and window parameter recommendation.. This is per connection based recommendation
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In the present work a methodology has been developed to identify the most important input-output parameters using co-linearity analysis of the raw data obtained
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