Artificial Intelligent Systems and Machine Learning

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The Role of Bee Colony Algorithmics on Learning Machine by Data Mining Method


Affiliations
1 Department of Computer Engineering, Yasouj Branch, science and research, Islamic Azad University, Yasouj, Tehran, Iran, Islamic Republic of
2 Department of Electrical and Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran, Islamic Republic of
     

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What the intellectual basis of the bee colony algorithm is based on can be easily stated in one sentence: Bees always choose the best way out of various obstacles in nature to access food. The bees choose the shortest route from the different paths to the food, with the bees secreting substances from the pheromone after finding the food, which is traced to white after rain. The bees find the path above when faced with a path that has more pheromones. In this paper, the studies show that the learning machine data set, which is a sampling of leukemia data, tested the accuracy of the error measurement on the bee colony algorithm, and the accuracy of the error before and after. It looks bad when performing data execution.


Keywords

Bee Colony Algorithm, Data Mining, Learning Machine, Sampling.
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  • The Role of Bee Colony Algorithmics on Learning Machine by Data Mining Method

Abstract Views: 169  |  PDF Views: 1

Authors

Maysam Toghraee
Department of Computer Engineering, Yasouj Branch, science and research, Islamic Azad University, Yasouj, Tehran, Iran, Islamic Republic of
Marziyeh Bahrami
Department of Electrical and Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran, Islamic Republic of

Abstract


What the intellectual basis of the bee colony algorithm is based on can be easily stated in one sentence: Bees always choose the best way out of various obstacles in nature to access food. The bees choose the shortest route from the different paths to the food, with the bees secreting substances from the pheromone after finding the food, which is traced to white after rain. The bees find the path above when faced with a path that has more pheromones. In this paper, the studies show that the learning machine data set, which is a sampling of leukemia data, tested the accuracy of the error measurement on the bee colony algorithm, and the accuracy of the error before and after. It looks bad when performing data execution.


Keywords


Bee Colony Algorithm, Data Mining, Learning Machine, Sampling.