Artificial immune system with ART memory Hibridization

Title:

Artificial immune system with ART memory Hibridization

Creator:

Alexandrino , José Lima, Zanchettin , Cleber, and de Barros Carvalho Filho, Edson Costa

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:20282bd7-c9ee-42da-9209-fd0606f75ba0
uuid:20282bd7-c9ee-42da-9209-fd0606f75ba0

Subject:

Artificial immune systems and hybrid intelligent systems and adaptive resonance theory

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The present work proposes the architecture Clonart (Clonal Adaptive Resonance Theory), a Hybrid Model that employs techniques like intelligent operators, clonal selection principle, local search, memory antibodies and ART clusterization, in order to increase the performance of the algorithm. The approach uses a mechanism similar to the ART 1 network for storing a population of memory antibodies that will be responsible for the acquired knowledge of the algorithm. This characteristic allows the algorithm a self-organization of the antibodies in accordance with the complexity of the database.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2007 Volume:17 | Number:6

Harvested from:

CDK

Metadata only:

false