Applications of Genetic Algorithm for Artificial Neural Network Model Discovery and Performance Surface Optimization in Finance

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11539087_161 ◽

2005 ◽

pp. 1214-1223

Author(s):

Serge Hayward

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Artificial Neural ◽

Surface Optimization ◽

And Performance ◽

Performance Surface

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Genetic algorithm based artificial neural network model for voltage stability monitoring

2014 21st International Conference on Telecommunications (ICT) ◽

10.1109/npsc.2014.7103798 ◽

2014 ◽

Cited By ~ 4

Author(s):

K S Sajan ◽

Barjeev Tyagi ◽

Vishal Kumar

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Voltage Stability ◽

Stability Monitoring ◽

Artificial Neural

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A genetic algorithm-based artificial neural network model with TOPSIS approach to optimize the engine performance

Biofuels ◽

10.1080/17597269.2017.1338123 ◽

2017 ◽

Vol 10 (6) ◽

pp. 693-717 ◽

Cited By ~ 3

Author(s):

G. Sakthivel ◽

S. Senthil Kumar ◽

M. Ilangkumaran

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Engine Performance ◽

Artificial Neural ◽

Topsis Approach

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Genetic algorithm–artificial neural network model for the prediction of germanium recovery from zinc plant residues

Mineral Processing and Extractive Metallurgy ◽

10.1179/037195502766647048 ◽

2002 ◽

Vol 111 (3) ◽

pp. 129-134

Author(s):

S. Akkurt ◽

S. Ozdemir ◽

G. Tayfur

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Plant Residues ◽

Zinc Plant ◽

Artificial Neural

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A Modified Back Propagation Artificial Neural Network Model Based on Genetic Algorithm to Predict the Flow Behavior of 5754 Aluminum Alloy

Materials ◽

10.3390/ma11050855 ◽

2018 ◽

Vol 11 (5) ◽

pp. 855 ◽

Cited By ~ 15

Author(s):

Changqing Huang ◽

Xiaodong Jia ◽

Zhiwu Zhang

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Aluminum Alloy ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Flow Behavior ◽

Back Propagation ◽

Artificial Neural

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Multi Criteria Optimization of Laser Percussion Drilling Process Using Artificial Neural Network Model Combined with Genetic Algorithm

Materials and Manufacturing Processes ◽

10.1081/amp-200060402 ◽

2006 ◽

Vol 21 (1) ◽

pp. 11-18 ◽

Cited By ~ 34

Author(s):

O. B. Nakhjavani ◽

M. Ghoreishi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Drilling Process ◽

Laser Percussion Drilling ◽

Artificial Neural ◽

Percussion Drilling

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A Genetic Algorithm- Back Propagation Artificial Neural Network Model to Quantify the Affinity of Flavonoids Toward P-Glycoprotein

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207311301010002 ◽

2014 ◽

Vol 17 (2) ◽

pp. 162-172 ◽

Cited By ~ 12

Author(s):

Jibin Shen ◽

Ying Cui ◽

Jun Gu ◽

Yaxiao Li ◽

Lingzhi Li

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Back Propagation ◽

P Glycoprotein ◽

Artificial Neural

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QSAR study of the 5-HT1A receptor affinities of arylpiperazines using a genetic algorithm–artificial neural network model

Monatshefte für Chemie - Chemical Monthly ◽

10.1007/s00706-008-0084-4 ◽

2008 ◽

Vol 140 (5) ◽

pp. 523-530 ◽

Cited By ~ 6

Author(s):

Aziz Habibi-Yangjeh

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Qsar Study ◽

Artificial Neural

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A genetic algorithm-based artificial neural network model for the optimization of machining processes

Neural Computing and Applications ◽

10.1007/s00521-007-0166-y ◽

2008 ◽

Vol 18 (2) ◽

pp. 135-140 ◽

Cited By ~ 47

Author(s):

D. Venkatesan ◽

K. Kannan ◽

R. Saravanan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Machining Processes ◽

Artificial Neural

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Artificial neural network model with parameter tuning assisted by genetic algorithm technique: study of critical velocity of slurry flow in pipeline

Asia-Pacific Journal of Chemical Engineering ◽

10.1002/apj.403 ◽

2009 ◽

pp. n/a-n/a ◽

Cited By ~ 1

Author(s):

S. K. Lahiri ◽

K. C. Ghanta

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Critical Velocity ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Parameter Tuning ◽

Slurry Flow ◽

Artificial Neural

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An Optimized Artificial Neural Network Model using Genetic Algorithm for Prediction of Traffic Emission Concentrations

International Journal of Advanced Computer Science and Applications ◽

10.14569/ijacsa.2021.0120693 ◽

2021 ◽

Vol 12 (6) ◽

Author(s):

Akibu Mahmoud Abdullah ◽

Raja Sher Afgun Usmani ◽

Thulasyammal Ramiah Pillai ◽

Mohsen Marjani ◽

Ibrahim Abaker Targio Hashem

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Traffic Emission ◽

Artificial Neural

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