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Adaptation of Cases for Case Based Forecasting with Neural Network Support

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Soft Computing in Case Based Reasoning

Abstract

A novel approach to the combination of a case based reasoning system and an artificial neural network is presented in which the neural network is integrated within the case based reasoning cycle so that its generalizing ability may be harnessed to provide improved case adaptation performance. The ensuing hybrid system has been applied to the task of oceanographic forecasting in a real-time environment and has produced very promising results. After presenting classifications of hybrid artificial intelligence problem-solving methods, the particular combination of case based reasoning and neural networks, as a problem-solving strategy, is discussed in greater depth. The hybrid artificial intelligence forecasting model is then explained and the experimental results obtained from trials at sea are outlined.

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Authors
  1. Juan M. Corchado
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  2. B. Lees
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Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Calcutta, 700 035, India

    Sankar K. Pal MTech, PhD, DIC, Fellow IEEE (Distinguished Scientist and Head) (Distinguished Scientist and Head)

  2. Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, 3083, Australia

    Tharam S. Dillon BE, PhD, FSaRS, FIE, SMIEEE

  3. Department of Computing, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong

    Daniel S. Yeung BA, MA, MSc, MBA, PhD, FHKIE

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© 2001 Springer-Verlag London Limited

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Corchado, J.M., Lees, B. (2001). Adaptation of Cases for Case Based Forecasting with Neural Network Support. In: Pal, S.K., Dillon, T.S., Yeung, D.S. (eds) Soft Computing in Case Based Reasoning. Springer, London. https://doi.org/10.1007/978-1-4471-0687-6_13

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  • DOI: https://doi.org/10.1007/978-1-4471-0687-6_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-262-4

  • Online ISBN: 978-1-4471-0687-6

  • eBook Packages: Springer Book Archive

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