Pubblicazione scientifica

Machine learning: Fisher fund classification using neural network and particle swarm optimization

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità

RIASSUNTO

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.

DATA

Data di pubblicazione: 01/03/2018

AUTORI

ARIFIN PAULUS TINDI
RAHMAT GERNOWO
OKY DWI NURHAYATI

ENTE DI AFFERENZA

MASTERS DEPT INFO SYS DIPONEGORO UNIV SEMARANG INDONESIA
DEPT PHYSICS DIPONEGORO UNIV SEMARANG INDONESIA
DEPT INFORMATICS DIPONEGORO UNIV SEMARANG INDONESIA

RIVISTA

2018 International Conference on Information and Communications Technology (ICOIACT) (Page(s): 315-320)

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