Title
Author
Year
Volume
:
2024
Vol. 1
no. 1
Vol. 2
2023
Vol. 1
no. 1
no. 2
2022
Vol. 1
no. 1
2021
Vol. 1
no. 1
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no. 1
no. 2
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no. 1
Vol. 2
no. 1
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Vol. 1
no. 1
Vol. 2
no. 1
2010
Vol. 1
no. 1
no. 2
Vol. 2
Vol. 0
Vol. 1
Volume 1, Number 1, 2019
An Enhancement on Support Vector Machine Based on Cuckoo Algorithm
Pages
:
1-5
Azadeh Jafari
Classification is a highlighted area within datamining. Exploring data is the aim of data-mining to make understanding of adataset. Among the various methods in data-mining, support vector machine (SVM)is well-known. The performance of SVM is highly depending on values ofparameters, such as penalty factor and parameters in the Kernel part. Cocoalgorithm is an optimization algorithm that is used in non-linear problems,which has been proven to excel in other algorithms, such as genetic algorism(GA), particle swarm algorithms (PSO) and imperialist competitivealgorithms (ICA) in terms of learning speed and convergence.This paper aims at applying coco-algorithm on breast cancer dataset and heartdisease dataset.
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