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18 results with keyword: 'optimization blast furnace parameters using artificial neural network'

Optimization of 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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2021
Prediction and Optimization of Blast Furnace Parameters using Artificial Neural Network

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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2020
Public Perceptions of How Media and NGOs Contribute to Civil Society in Croatia’s Accession to the EU

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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2020
Modeling, Optimization and simulation of Rotary Furnace using Artificial Neural Network

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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2020
Application of neural network techniques for modeling of blast furnace parameters

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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2021
SeGrid: A Secure Grid Framework for Sensor Networks

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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2020
AN INVESTIGATION INTO BANKERS’ PATRONAGE OF LIFE INSURANCE PRODUCTS IN GHANA

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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2020
Fixed Point Theorems in Intuitionistics Fuzzy Metric Spaces Using Implicit Relations

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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2020
Optimization of EDM Process Parameters by Using Artificial Neural Network: A Review

Balasubramaniam in 2014 performed on the Optimization and modelling of Electrical Discharge Machining (EDM) Parameters Using Artificial Neural Network with

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2020
Introduction to Recurrent Neural Networks (Part 1)

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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2021
Activity Based Management Change Order Model-Based Economic Value Added Through The Effectiveness And Efficiency To Improve The Financial Performance Of Building Construction Projects In Surabaya City

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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On the convergence of the multi-step Noor fixed point iterative scheme with errors in the class of Zamfirescu operators

(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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2020
A case study analysis of racial identity in heterosexual black and white interracial couples living in the south

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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2021
Optimization of surface roughness in milling using neural network (NN)

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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													Kernel network parameters optimization using optimized artificial neural network to serve quality of service parameters

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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2020
Modeling of a Glass Tank Furnace Using Artificial Neural Network

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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2020
Shape Optimization of Pedestals Using Artificial Neural Network

The stress obtained from finite element analyses are used for training of neural network.. Successfully trained network is used

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2020

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