GDL

Journal from gdlhub / 2021-08-24 11:54:25
Oleh : Emad Mohamed Mashhour, Enas M.F. El Houby, Khaled Tawfik Wassif, Akram Ibrahim Salah, King Saud University
Dibuat : 2021-08-14, dengan 0 file

Keyword : Firefly algorithm, Model construction, Model prediction, Swarm intelligence, Classification
Url : http://www.sciencedirect.com/science/article/pii/S1319157818304919
Sumber pengambilan dokumen : Web

During the past decade, assigning objects to one of several predefined classes with higher accuracy has received considerable focus among researchers. Hence, many algorithms such as statistical algorithms have been developed to solve classification problem. Recently, considerable literature has grown up around swarm intelligence algorithms. Firefly algorithm is a swarm intelligence algorithm that imitates the behavior of the firefly in nature. In this research, a novel classifier approach based on firefly algorithm is introduced as a supervised learning algorithm. Classification based on firefly algorithm is processed by simulating the behavior of firefly in attracting other mates based on intensity and distances. The full process of the proposed algorithm comprises three phases. Feature selection phase, which is responsible for reducing features and picking the most informative features, model construction phase responsible for picking firefly class presenters, and model usage/prediction phase responsible for allocating testing or unseen samples in their relative classes using class presenters. Seven different datasets have been used to test classifier performance. Some of the datasets results were compared with ant-miner algorithm. Results proved that firefly classifier algorithm is a promising and competitive classifier.

Deskripsi Alternatif :

During the past decade, assigning objects to one of several predefined classes with higher accuracy has received considerable focus among researchers. Hence, many algorithms such as statistical algorithms have been developed to solve classification problem. Recently, considerable literature has grown up around swarm intelligence algorithms. Firefly algorithm is a swarm intelligence algorithm that imitates the behavior of the firefly in nature. In this research, a novel classifier approach based on firefly algorithm is introduced as a supervised learning algorithm. Classification based on firefly algorithm is processed by simulating the behavior of firefly in attracting other mates based on intensity and distances. The full process of the proposed algorithm comprises three phases. Feature selection phase, which is responsible for reducing features and picking the most informative features, model construction phase responsible for picking firefly class presenters, and model usage/prediction phase responsible for allocating testing or unseen samples in their relative classes using class presenters. Seven different datasets have been used to test classifier performance. Some of the datasets results were compared with ant-miner algorithm. Results proved that firefly classifier algorithm is a promising and competitive classifier.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	King Saud University
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com