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A comparative study of artificial neural network and adaptive neurofuzzy inference system for prediction of compressional wave velocity

Author
ZOVEIDAVIANPOOR, Mansoor1
[1] Faculty of Petroleum and Renewable Energy Engineering, Universiti Teknologi Malaysia, 81310 Johor Baharu, Johor, Malaysia
Source

Neural computing & applications (Print). 2014, Vol 25, Num 5, pp 1169-1176, 8 p ; ref : 15 ref

ISSN
0941-0643
Scientific domain
Computer science; Neurology
Publisher
Springer, London
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Adaptive neurofuzzy inference system Artificial neural network Compressional wave velocity
Keyword (fr)
Analyse système Carbonate Classification hiérarchique Coefficient corrélation Efficacité Erreur quadratique moyenne Estimation erreur Etude comparative Inférence Logique floue Onde P Onde compression Onde longitudinale Optimisation Quantification Réseau neuronal Système adaptatif Vitesse propagation Réseau neuronal flou
Keyword (en)
System analysis Carbonates Hierarchical classification Correlation coefficient Efficiency Mean square error Error estimation Comparative study Inference Fuzzy logic P wave Compression wave Longitudinal wave Optimization Quantization Neural network Adaptive system Propagation velocity Fuzzy neural nets
Keyword (es)
Análisis sistema Carbonato Clasificación jerarquizada Coeficiente correlación Eficacia Error medio cuadrático Estimación error Estudio comparativo Inferencia Lógica difusa Onda P Onda compresión Onda longitudinal Optimización Cuantificación Red neuronal Sistema adaptativo Velocidad propagación Red neuronal difusa
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30M Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems Physics : solid mechanics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28789279

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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