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Theoretical diagnostic and prediction of physical properties of quaternary InGaAsP compound using artificial neural networks optimized by the Levenberg Maquardt algorithm
by
Tarbi, Amal
,
Atmani, El Houssine
,
Sellam, Mohammed Amine
,
Lougdali, Meriem
,
El Kouari, Youssef
,
Migalska-Zalas, Anna
Published in
Optical and quantum electronics
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Optical And Quantum Electronics
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Algorithms
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Artificial Neural Network
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Artificial Neural Networks
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Bandgap Energy
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Characterization And Evaluation Of Materials
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Chemical Composition
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Computer Communication Networks
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Electrical Engineering
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Empirical Equations
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Energy Gap
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Engineering
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Engineering, Electrical & Electronic
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Gallium Indium Arsenide Phosphide
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Lasers
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Lattice Parameters
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Levenberg Maquardt Algorithm
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Mathematical Models
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Optical Devices
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