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Learning from Nowhere

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Book cover Advances in Neural Networks (WIRN 2015)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 54))

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Abstract

We extend the Fuzzy Inference System (FIS) paradigm to the case where the universe of discourse is hidden to the learning algorithm. Hence the training set is constituted by a set of fuzzy attributes in whose correspondence some consequents are observed. The scenario is further complicated by the fact that the outputs are evaluated exactly in terms of the same fuzzy sets in a recursive way. The whole works arose from everyday life problems faced by the European Project Social&Smart in the aim of optimally regulating household appliances’ runs. We afford it with a two-phase procedure that is reminiscent of the distal learning in neurocontrol. A web service is available where the reader may check the efficiency of the assessed procedure.

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Notes

  1. 1.

    http://www.sands-project.eu.

  2. 2.

    In the experiments each rule receives in input also a crisp variable corrisponding to the operational parameter, i.e. the rising time in the example, outputted by the FIS at the previous iteration.

  3. 3.

    Actually, for each fuzzy variable \(g_i\), the output (3) of layer 0 is further processed so as to include as last step this transformation.

  4. 4.

    The database is available at http://ns3366758.ip-37-187-78.eu/exp/excel.

References

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Acknowledgments

This work has been supported by the European Project FP7 317947 Social&Smart.

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Authors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano Via Comelico 39/41, 20135, Milan, Italy

    Bruno Apolloni, Simone Bassis, Jacopo Rota, Gian Luca Galliani, Matteo Gioia & Luca Ferrari

Authors
  1. Bruno Apolloni
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  2. Simone Bassis
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  3. Jacopo Rota
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  4. Gian Luca Galliani
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  5. Matteo Gioia
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  6. Luca Ferrari
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Corresponding author

Correspondence to Simone Bassis .

Editor information

Editors and Affiliations

  1. Computer Science Department, University of Milano, Milano, Italy

    Simone Bassis

  2. Department of Psychology, Seconda Università di Napoli and IIASS, Caserta, Italy

    Anna Esposito

  3. Dept. of Info., Mathematics, Ele & Trans, Univ. Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

  4. Dip. Elettronica e Telecomunicazioni, Politecnico di Torino, Torino, Italy

    Eros Pasero

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Apolloni, B., Bassis, S., Rota, J., Galliani, G.L., Gioia, M., Ferrari, L. (2016). Learning from Nowhere. In: Bassis, S., Esposito, A., Morabito, F., Pasero, E. (eds) Advances in Neural Networks. WIRN 2015. Smart Innovation, Systems and Technologies, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-33747-0_10

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  • DOI: https://doi.org/10.1007/978-3-319-33747-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33746-3

  • Online ISBN: 978-3-319-33747-0

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