Geochemical characterization of oceanic basalts using Artificial Neural Network

Geochemical Transactions ◽

10.1186/1467-4866-10-13 ◽

2009 ◽

Vol 10 (1) ◽

Author(s):

Pranab Das ◽

Sridhar D Iyer

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Geochemical Characterization ◽

Oceanic Basalts ◽

Artificial Neural

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Creep characterization of various prosthetic and orthotics composite materials with nanoparticles using an experimental program and an artificial neural network

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.239 ◽

2021 ◽

Author(s):

Muhannad Al-Waily ◽

Muhsin J. Jweeg ◽

Q.H. Jebur ◽

Kadhim K. Resan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Composite Materials ◽

Experimental Program ◽

Artificial Neural

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Electrical Characterization of a Photovoltaic Module Through Artificial Neural Network: A Review

International Journal of Electrical Components and Energy Conversion ◽

10.11648/j.ijecec.20170301.12 ◽

2017 ◽

Vol 3 (1) ◽

pp. 14 ◽

Author(s):

Rashmi Galphade

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Electrical Characterization ◽

Photovoltaic Module ◽

Artificial Neural

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Physicochemical parameters combined flash GC e-nose and artificial neural network for quality and volatile characterization of vinegar with different brewing techniques

Food Chemistry ◽

10.1016/j.foodchem.2021.131658 ◽

2021 ◽

pp. 131658

Author(s):

Yu Li ◽

Chenghao Fei ◽

Chunqin Mao ◽

De Ji ◽

Jingwen Gong ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Physicochemical Parameters ◽

Artificial Neural

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Artificial neural network based multi-parameter inversion for the characterization of transversely isotropic composite lamina using velocity measurements of Lamb waves

Journal of Composite Materials ◽

10.1177/0021998311414217 ◽

2011 ◽

Vol 46 (5) ◽

pp. 517-525 ◽

Author(s):

C. Ramadas ◽

Rahul Harshe ◽

Krishnan Balasubramaniam ◽

Makarand Joshi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Transversely Isotropic ◽

Velocity Measurements ◽

Isotropic Composite ◽

Parameter Inversion ◽

Artificial Neural

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Characterization of a capacitorless current-mode bandpass biquad via an artificial neural network

2008 International Symposium on Intelligent Signal Processing and Communications Systems ◽

10.1109/ispacs.2009.4806693 ◽

2009 ◽

Author(s):

Montira Moonngam ◽

Roungsan Chaisricharoen

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Current Mode ◽

Artificial Neural

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Characterization of aluminum surface using image processing methods and artificial neural network methods

2017 International Conference on Computing, Engineering, and Design (ICCED) ◽

10.1109/ced.2017.8308113 ◽

2017 ◽

Author(s):

Heppi Familiana ◽

Iyus Maulana ◽

Aries Karyadi ◽

Irwin Syahri Cebro ◽

Agustami Sitorus

Keyword(s):

Neural Network ◽

Image Processing ◽

Artificial Neural Network ◽

Aluminum Surface ◽

Processing Methods ◽

Network Methods ◽

Artificial Neural

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Optimization and characterization of bio-oil produced from cotton shell by flash pyrolysis using artificial neural network

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2017.1403508 ◽

2017 ◽

Vol 39 (23) ◽

pp. 2173-2180 ◽

Author(s):

P. Madhu ◽

M. M. Matheswaran ◽

G. Periyanayagi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Flash Pyrolysis ◽

Bio Oil ◽

Artificial Neural ◽

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Fracture network characterization of naturally fractured reservoir using artificial neural network and fractal methods

10.29118/ipa.1535.59 ◽

2018 ◽

Author(s):

D. Abdassah

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fracture Network ◽

Fractured Reservoir ◽

Naturally Fractured Reservoir ◽

Naturally Fractured ◽

Artificial Neural ◽

Network Characterization ◽

Fractal Methods

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Analysis of Structural Integrity of a Building Using an Artificial Neural Network ARTMAP-Fuzzy-Wavelet

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1025-1026.1113 ◽

2014 ◽

Vol 1025-1026 ◽

pp. 1113-1118 ◽

Author(s):

Fernando Parra dos Anjos Lima ◽

Simone Silva Frutuoso de Souza ◽

Fábio Roberto Chavarette ◽

Mara Lúcia Martins Lopes ◽

Antonio Eduardo Turra ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Structural Integrity ◽

Fuzzy Artmap ◽

Base Line ◽

Building Structures ◽

Structural Failure ◽

Support Tool ◽

Artificial Neural

This paper presents an ARTMAP-Fuzzy-Wavelet artificial neural network to perform the analysis of the structural integrity of a building. The combination of Fuzzy ARTMAP neural network, wavelets transform to generate a tool that performs the identification and characterization of structural failure. This method is applied as a support tool for professionals in the inspection of mechanical and building structures to identify and characterize flaws in order to carry out preventive maintenance to ensure the integrity of the structure and decision making. In order to validate the methodology perform mathematical modeling of a building of two walk, and from this model were simulated different situations (base-line condition and improper conditions), yielding a database of signals that serve as input ARTMAP-Fuzzy-Wavelet neural network. The results obtained by ARTMAP-Fuzzy-Wavelet shown efficiency and robustness.

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A Textural Characterization of Coal SEM Images Using Functional Link Artificial Neural Network

Advances in Intelligent Systems and Computing - Proceedings of International Conference on Computer Vision and Image Processing ◽

10.1007/978-981-10-2104-6_11 ◽

2016 ◽

pp. 109-117 ◽

Author(s):

Alpana ◽

Subrajeet Mohapatra

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Functional Link ◽

Textural Characterization ◽

Artificial Neural

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