Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories

Author(s):  
Israel Román Godínez ◽  
Itzamá López-Yáñez ◽  
Cornelio Yáñez-Márquez
2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
María Elena Acevedo ◽  
Marco Antonio Acevedo ◽  
Federico Felipe

Bidirectional Associative Memories (BAMs) based on first model proposed by Kosko do not have perfect recall of training set, and their algorithm must iterate until it reaches a stable state. In this work, we use the model of Alpha-Beta BAM to classify automatically cancer recurrence in female patients with a previous breast cancer surgery. Alpha-Beta BAM presents perfect recall of all the training patterns and it has a one-shot algorithm; these advantages make to Alpha-Beta BAM a suitable tool for classification. We use data from Haberman database, and leave-one-out algorithm was applied to analyze the performance of our model as classifier. We obtain a percentage of classification of 99.98%.


Author(s):  
Cornelio Yáñez-Márquez ◽  
Luis P. Sánchez-Fernández ◽  
Itzamá López-Yáñez

Author(s):  
Mario Aldape-Pérez ◽  
Cornelio Yáñez-Márquez ◽  
Amadeo José Argüelles-Cruz

2007 ◽  
Vol 2 (4) ◽  
Author(s):  
María Elena Acevedo Mosqueda ◽  
Cornelio Yáñez Márquez ◽  
Itzamá López Yáñez

2010 ◽  
Vol 2010 ◽  
pp. 1-27 ◽  
Author(s):  
María Elena Acevedo ◽  
Cornelio Yáñez-Márquez ◽  
Marco Antonio Acevedo

Alpha-beta bidirectional associative memories are implemented for storing concept lattices. We use Lindig's algorithm to construct a concept lattice of a particular context; this structure is stored into an associative memory just as a human being does, namely, associating patterns. Bidirectionality and perfect recall of Alpha-Beta associative model make it a great tool to store a concept lattice. In the learning phase, objects and attributes obtained from Lindig's algorithm are associated by Alpha-Beta bidirectional associative memory; in this phase the data is stored. In the recalling phase, the associative model allows to retrieve objects from attributes or vice versa. Our model assures the recalling of every learnt concept.


Polibits ◽  
2016 ◽  
Vol 54 ◽  
pp. 43-51
Author(s):  
Sulema Torres-Ramos ◽  
Israel Román-Godínez ◽  
E. Gerardo Mendizabal-Ruiz

Author(s):  
María Elena Acevedo-Mosqueda ◽  
Cornelio Yánez-Márquez ◽  
Itzamá López-Yáñez

2017 ◽  
Vol 48 (2) ◽  
pp. 811-847 ◽  
Author(s):  
Cornelio Yáñez-Márquez ◽  
Itzamá López-Yáñez ◽  
Mario Aldape-Pérez ◽  
Oscar Camacho-Nieto ◽  
Amadeo José Argüelles-Cruz ◽  
...  

Author(s):  
María Elena Acevedo-Mosqueda ◽  
Cornelio Yáñez-Márquez ◽  
Itzamá López-Yáñez

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