By Daniela Sanchez,Patricia Melin
In this publication, a
new approach for hybrid clever structures is proposed. The proposed process is
based on a granular computing strategy utilized in degrees. The techniques
used and mixed within the proposed strategy are modular neural networks (MNNs)
with a Granular Computing (GrC) method, hence leading to a brand new suggestion of
MNNs; modular granular neural networks (MGNNs). moreover fuzzy common sense (FL)
and hierarchical genetic algorithms (HGAs) are concepts utilized in this research
work to enhance effects. those thoughts are selected simply because in different works
have tested to be a good suggestion, and when it comes to MNNs and HGAs, these
techniques permit to enhance the consequences acquired than with their conventional
versions; respectively man made neural networks and genetic algorithms.
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Additional resources for Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation (SpringerBriefs in Applied Sciences and Technology)
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation (SpringerBriefs in Applied Sciences and Technology) by Daniela Sanchez,Patricia Melin