Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2017 | OriginalPaper | Buchkapitel

1. Mathematical Aspects of Using Neural Approaches for Information Retrieval

verfasst von : Iuliana F. Iatan

Erschienen in: Issues in the Use of Neural Networks in Information Retrieval

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Scientists have shown considerable interest in the study of Artificial Neural Networks (NNs) during the last decade. Interest in Fuzzy Neural Network (FNN) applications was generated (Chen et al, IEEE Trans Syst Man Cybern 29(1):119–126, 1999, [1]) by two events.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Nächstes Kapitel A Fuzzy Kwan–Cai Neural Network for Determining Image Similarity and for the Face Recognition
Fußnoten
1
Hammer, B., and Villmann, T., Mathematical Aspects of Neural Networks, 11th European Symposium on Artificial Neural Networks (ESANN’ 2003), 2003, 59–72.
 
2
Hammer, B., and Villmann, T., Mathematical Aspects of Neural Networks, 11th European Symposium on Artificial Neural Networks (ESANN’ 2003), 2003, 59–72.
 
3
Ramageri, B.M., Data Mining Techniques and Applications, Indian Journal of Computer Science and Engineering, 2010, 1(4), 301–305.
 
4
Reshadat, V., and Feizi-Derakhshi, M.R., Neural Network-Based Methods in Information Retrieval, American Journal of Scientific Research, 2011, 58, 33–43.
 
5
Reshadat, V., and Feizi-Derakhshi, M.R., Neural Network-Based Methods in Information Retrieval, American Journal of Scientific Research, 2012, 58, 33–43.
 
7
Mokriš, I., and Skovajsová, L., Neural Network Model of System for Information Retrieval from Text Documents in Slovak Language, Acta Electrotechnica et Informatica, 2005, 3(5), 1–6.
 
8
Burgerr, W., and Burge, M.J., Principles of Digital Image Processing. Fundamental Techniques, Springer-Verlag London, 2009.
 
9
Xhemali, D., and Hinde, C.J., and Stone, R.G., Na\({\ddot{\mathrm{i}}}\)ve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages, International Journal of Computer Science Issues, 2009, 4(1), 16–23.
 
10
Skovajsová L. Text document retrieval by feed-forward neural networks. Information Sciences and Technologies Bulletin of the ACM Slovakia, 2(2):70-78, 2010.
 
11
Mokriš, I., and Skovajsová, L., Neural Network Model of System for Information Retrieval from Text Documents in Slovak Language, Acta Electrotechnica et Informatica, 2005, 3(5), 1–6.
 
12
Liu, B., Web Data Mining, Springer-Verlag Berlin Heidelberg, 2008.
 
15
Xhemali, D., and Hinde, C.J., and Stone, R.G., Na\({{\ddot{\mathrm{i}}}}\)ve Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages, International Journal of Computer Science Issues, 2009, 4(1), 16–23.
 
16
Liu, T. Y., Learning to Rank for Information Retrieval, 2011, Springer-Verlag Berlin Heidelberg.
 
Literatur
1.
L. Chen, D. H. Cooley, and J. Zhang. Possibility-based fuzzy neural networks and their application to image processing. IEEE Transactions on Systems, Man, and Cybernetics, 29(1):119–126, 1999.
2.
B. Hammer and T. Villmann. Mathematical aspects of neural networks. In 11th European Symposium on Artificial Neural Networks (ESANN’ 2003), 2003.
3.
T. Hastie and ands Friedman J. Tibshirani, R. The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Springer-Verlagn Berlin Heidelberg, 2009.
4.
M.A. Razi and K. Athappilly. A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (cart) models. Expert Systems with Applications, 29:65–74, 2005.
5.
V. Reshadat and M.R. Feizi-Derakhshi. Neural network-based methods in information retrieval. American Journal of Scientific Research, 58:33–43, 2012.
6.
7.
B.M. Ramageri. Data mining techniques and applications. Indian Journal of Computer Science and Engineering, 1(4):301–305, 2010.
8.
9.
J. Mehrad and S. Koleini. Using som neural network in text information retrieval. Iranian Journal of information Science and Technology, 5(1):53–64, 2007.
10.
K.A. Olkiewicz and U. Markowska-Kaczmar. Emotion-based image retrieval an artificial neural network approach. In Proceedings of the International Multiconference on Computer Science and Information Technology, pages 89–96, 2010.
11.
I. Iatan and M. de Rijke. Mathematical aspects of using neural approaches for information retrieval. Complex and Intelligent Systems (Reviewers Assigned), 2016.
12.
A.N. Netravali and B.G. Haskell. Digital Pictures: Representation and Compression. Springer, 2012.
13.
R.C. Gonzales and A. Woods. Digital Image Processing. Prentice Hall, second edition, 2002.
14.
W. Burgerr and M.J. Burge. Principles of Digital Image Processing. Fundamental Techniques. Springer-Verlag London, 2009.
15.
A. Vlaicu. Digital Image Processing (in Romanian). MicroInformatica Group, Cluj-Napoca, 1997.
16.
V.E. Neagoe. Pattern recognition and artificial intelligence (in Romanian), lecture notes, Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest. 2000.
17.
M. Ettaouil, Y. Ghanou, K. El Moutaouakil, and M. Lazaar. Image medical compression by a new architecture optimization model for the Kohonen networks. International Journal of Computer Theory and Engineering, 3(2):204–210, 2011.
18.
V. E. Neagoe and O. Stǎnǎşilǎ. Pattern Recognition and Neural Networks (in Romanian). Ed. Matrix Rom, Bucharest, 1999.
19.
I. Iatan. Neuro-Fuzzy Systems for Pattern Recognition (in Romanian). PhD thesis, Faculty of Electronics, Telecommunications and Information Technology-University Politehnica of Bucharest, PhD supervisor: Prof. dr. Victor Neagoe, 2003.
20.
L.T. Huang, L.F. Lai, and C.C Wu. A fuzzy query method based on human-readable rules for predicting protein stability changes. The Open Structural Biology Journal, 3:143–148, 2009.
21.
A. Ganivada and S.K. Pal. A novel fuzzy rough granular neural network for classification. International Journal of Computational Intelligence Systems, 4(5):1042–1051, 2011.
22.
Q. Ni, C. Guo, and J. Yang. Research of face image recognition based on probabilistic neural networks. In IEEE Control and Decision Conference, 2012.
23.
Y. Sun, X. Lin, and Q. Jia. Information retrieval for probabilistic pattern matching based on neural network. In International Conference on Systems and Informatics, ICSAI2012, 2012.
24.
G.A. Anastassiou and I. Iatan. A new approach of a possibility function based neural network. In Intelligent Mathematics II: Applied Mathematics and Approximation Theory, pages 139–150. Springer International Publishing, 2016.
25.
L. Skovajsová. Text document retrieval by feed-forward neural networks. Information Sciences and Technologies Bulletin of the ACM Slovakia, 2(2):70–78, 2010.
26.
I. Mokriš and L. Skovajsová. Neural network model of system for information retrieval from text documents in slovak language. Acta Electrotechnica et Informatica, 3(5):1–6, 2005.
27.
T.N. Yap. Automatic text archiving and retrieval systems using self-organizing kohonen map. In Natural Language Processing Research Symposium, pages 20–24, 2004.
28.
B. Liu. Web Data Mining. Springer-Verlag Berlin Heidelberg, 2008.
Metadaten
Titel
Mathematical Aspects of Using Neural Approaches for Information Retrieval
verfasst von
Iuliana F. Iatan
Copyright-Jahr
2017
Buch
Issues in the Use of Neural Networks in Information Retrieval

Print ISBN: 978-3-319-43870-2

Electronic ISBN: 978-3-319-43871-9

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-43871-9_1

Premium Partner

    Bildnachweise