Abstract
In this research, we have taken one of the artificial immune intelligence algorithms, namely the Artificial Immune Network, was developed using the Adaptive Neuro Fuzzy Inference System (ANFIS) by using the Immune Memory, The immunological network as an input to ANFIS technology to increase the chance of training a model based on the pattern of simulation of data patterns, as the immune memory resulting from the immunological network makes copies of data with characteristics similar to the original data. The proposed algorithm proved to have better and more efficient results rack on the patterns compared with the usual artificial immune system.
Highlights
Mean Iris TimeIris Square ErrorThe Previous Studies (Salam A.Ismaeel, Ahmed M.Hassan, and Ali Farouq) Ibrahim F.Jasim)(Mahmoud Reza Saybani1, Shahaboddin Shamshirband, Shahram Golzari, Teh Ying Wah, Aghabozorgi Saeed, Miss Laiha Mat Kiah,Valentina Emilia Balas)Pattern Feature)(Object (Pattern) Recognition (Pattern Feature)(Object (Pattern) (Classes)
Adaptive Neuro Fuzzy Inference System (ANFIS) technology to increase the chance of training a model based on the pattern of simulation
as the immune memory resulting from the immunological network makes copies of data
Summary
The Previous Studies (Salam A.Ismaeel, Ahmed M.Hassan, and Ali Farouq)
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