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Subject Integration and Applications of Neural Networks

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Advances in Computation and Intelligence (ISICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5821))

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Abstract

The present paper introduces the development, valuable part and application of neural network. It also analyzes systematically the existing problems and the combination of neural network with wavelet analysis, fuzzy set, chaos, rough sets and other theories, together with its applications and the hot spots of the research on neural network. The analysis proves that the prospects of neural network will be primising with the combination method, and that subject integration will be the chief interest for the neural network research.

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References

  1. McCulloch, W., Pitts, W.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics 1(5), 115–133 (1943)

    Article  MathSciNet  MATH  Google Scholar 

  2. Hebb, O.: The Oorganization Behaviour. Willey, New York (1949)

    Google Scholar 

  3. Rosenblatt, F.: The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, Cornell Aeronautical Laboratory. Psychological Review 65(6), 386–408 (1958)

    Article  Google Scholar 

  4. Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)

    Book  MATH  Google Scholar 

  5. Yang, M., Trifas, M., Bourbakis, C.C.: A Robust Information Hiding Methodology in Wavelet Domain. In: Proceeding of Signal and Image Processing, Honolulu, USA, pp. 200–245 (2007)

    Google Scholar 

  6. Li, S.-T., Chen, S.-C.: Function Approximation Using Robust Wavelet Neural Networks. In: Proceedings of the 14th IEEE International Conference on Tools with Artificial intelligence, pp. 483–488 (2002)

    Google Scholar 

  7. Chen, Y., Dong, J., Yang, B., Zhang, Y.: A Local Linear Wavelet Neural Network. In: Hangzhou, P.R. (ed.) Proceedings of the 5th world congress on intelligent control and automation, China, pp. 15–19 (2004)

    Google Scholar 

  8. Cao, S., Cao, J.: Forecast of solar irradiance using recurrent neural networks combined with wavelet analysis. Applied Thermal Engineering 25, 161–172 (2005)

    Article  Google Scholar 

  9. Chen, B.-F., Wang, H.-D., Chu, C.-C.: Wavelet and artificial neural network analyses of tide forecasting and supplement of tides around Taiwan and South China Sea. Ocean Engineering 34, 2161–2175 (2007)

    Article  Google Scholar 

  10. Samanwoy, G.-d., Hojjat, A., Nahid, D.: Mixed-band Wavelet-chaos- neural Network Methodology for Epilepsy and Epileptic Seizure Detection. In: IEEE transactions on biomedical engineering, vol. 54(9), pp. 1545–1551 (2007)

    Google Scholar 

  11. Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  12. Kleinsteuber, S., Sepehri, N.: A polynomial network modeling approach to a class of large-scale hydraulic systems. Computers Elect. Eng. 22, 151–168 (1996)

    Article  Google Scholar 

  13. Dandil, B.: Fuzzy neural network IP controller for robust position control of induction motor drive. Expert Systems with Applications 36, 4528–4534 (2009)

    Article  Google Scholar 

  14. Grossberg, S.: Adaptive pattern classification and universal recoding: I. parallel development and coding of neural feature dectors. Biological Cybernetics 23, 121–134 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  15. Carpenter, G.A., Grossberg, S., Rosen, D.B.: Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4, 759–771 (1991)

    Article  Google Scholar 

  16. jiong, R., weirui, Z., Rongsong, L.: Chaos in transiently chaotic neural networks. Applied Mathematics and Mechanics 24(8), 989–996 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  17. Yao, Y., Freeman, W.J., Burke, B., Yang, Q.: Pattern recognition by a distributed neural network: an industrial application. Neural Networks 4, 103–121 (1991)

    Article  Google Scholar 

  18. Wang, L., Liu, W., Shi, H., Zurada, J.M.: Cellular neural networks with transient chaos. In: IEEE transactions on circuits and systems-II:express briefs, vol. 54(5), pp. 440–444 (2007)

    Google Scholar 

  19. Hassanien, A.E., Ślezak, D.: Rough Neural Intelligent Approach for Image Classification: A Case of Patients with Suspected Breast Cancer. International Journal of Hybrid Intelligent System 3(4), 205–218 (2006)

    Article  MATH  Google Scholar 

  20. Xue, F., Ke, K.-L.: Five-Category Evaluation of Commercial Bank’s Loan by the Integration of Rough Sets and Neural Network. Systems Engineering -Theory & Practice 28(1), 40–45 (2008)

    Article  Google Scholar 

  21. Dong, L., Xiao, D., Liang, Y., Liu, Y.: Rough set and fuzzy wavelet neural network integrated with least square weighted fusion algorithm based fault diagnosis research for power transformers. Electric power systems research 78, 129–136 (2008)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computer Science and Technology, Huangshi Institue of Technology, Hubei, Huangshi, 435003

    Bowu Yan & Chao Gao

Authors
  1. Bowu Yan
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  2. Chao Gao
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  2. School of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, China

    Zhenhua Li

  3. Computation Center, Wuhan University, 430072, Wuhan, Hubei, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, 965-8580, i, Aizu-Wakamatsu City, Fukushima, Japan

    Yong Liu

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© 2009 Springer-Verlag Berlin Heidelberg

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Yan, B., Gao, C. (2009). Subject Integration and Applications of Neural Networks. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_40

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  • DOI: https://doi.org/10.1007/978-3-642-04843-2_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04842-5

  • Online ISBN: 978-3-642-04843-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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