|
Abstract
|
|
|---|---|
| Koniocortex-Like Network is a novel category of Bio-Inspired Neural Networks whose architecture and properties are inspired in the biological koniocortex, the ?rst layer of the cortex that receives information from the thalamus. In the Koniocortex-Like Network competition and pattern classi?cation emerges naturally due to the interplay of inhibitory interneurons, metaplasticity and intrinsic plasticity. Recently proposed, it has shown a big potential for complex tasks with unsupervised learning. Now for the ?rst time, its competitive results are proved in a relevant standard real application that is the objective of state-ofthe-art research: the diagnosis of breast cancer data from the Wisconsin Breast Cancer Database | |
|
International
|
Si |
|
Congress
|
IWINAC 2017 - International Work-conference on the Interplay between Natural and Artificial Computation |
|
|
960 |
|
Place
|
Coruña, Spain. |
|
Reviewers
|
Si |
|
ISBN/ISSN
|
978-3-319-59772-0 |
|
|
|
|
Start Date
|
19/06/2017 |
|
End Date
|
23/06/2017 |
|
From page
|
32 |
|
To page
|
41 |
|
|
Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, Proceedings, Part II. |