Paulus Tindi, Arifin and Gernowo, Rahmat and Dwi Nurhayati, Oky Machine Learning: Fisher Fund Classification using Neural Network and Particle Swarm Optimization. IEEE Xplore, Yogyakarta, Indonesia.

	PDF (Turnitin) Turnitin_ICOIACT_2018.pdf - Other Download (1MB)
	PDF (Prosiding) Pros_ICOIACT_2018.pdf - Published Version Download (548kB)
	PDF (Peer Review) 1.peer_c15_odn.pdf - Other Download (4MB)

Abstract

Assistance fishery can increase the income of fishermen and contribute to the country. Required classification awarding kind of help to improve the utilization of fund. In this research the ML to learn the features in a dataset of combinations Fishermen Card database and data Monitoring and Evaluation fisheries fund. ML process performed by NN MLP models combined with PSO with performance models such as Precision qualitative reached 0.75, sensitivity is reduced to 0.44, with the quantitative achievements reached 0.66 Accuracy and Error 0.34 with network model and small parameters.

Actions (login required)

View Item