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Granular Neural Network

  • Reference work entry
Computational Complexity

  • 215 Accesses

Article Outline

Glossary

Definition of the Subject

Introduction

Basic Architecture

Granular Learning Algorithms

Applications in Bioinformatics

Applications in Computational Web Intelligence

Applications in Brain Informatics

Conclusions

Future Directions

Bibliography

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Abbreviations

Granular data :

Granular data include various data granules such as classes, clusters, subsets, groups, linguistic values and intervals.

Granular neuron :

An artificial neuron maps granular data inputs to granular data outputs.

Granular link :

A granular link connects two different granular neurons.

Granular weights :

A granular weight represents connection strength between two granular neurons by using a granular value that is not limited to a traditional numerical value.

Granular neural network :

An intelligent neural network consists of granular neurons and granular links that connect relevant granular neurons.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Georgia State University, Atlanta, USA

    Yan-Qing Zhang

Authors
  1. Yan-Qing Zhang
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Editor information

Editors and Affiliations

  1. RAMTECH LIMITED, 122 Escalle Lane, Larkspur, CA, 94939, USA

    Robert A. Meyers Ph. D. (Editor-in-Chief) (Editor-in-Chief)

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© 2012 Springer-Verlag

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Zhang, YQ. (2012). Granular Neural Network. In: Meyers, R. (eds) Computational Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1800-9_93

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