Forecasting of monthly marine fish landings using artificial neural network
Management of marine resources have gradually become more important during these past years because of the increased awareness of these resources becoming limited. Forecasting of fish landings is one of the many ways that can contribute to a better decision making for fisheries management. Being a r...
Main Authors: | Nasir, N., Samsudin, R., Shabri, A. |
---|---|
Format: | Article |
Language: | English |
Published: |
International Center for Scientific Research and Studies
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/76316/1/RuhaidahSamsudin_ForecastingofMonthlyMarineFishLandings.pdf |
Similar Items
-
Forecasting of the rice yields time series forecasting using artificial neural network and statistical model
by: Shabri, Ani, et al.
Published: (2009) -
A comparison of time series forecasting using support vector machine and artificial neural network model
by: Samsudin, Ruhaidah, et al.
Published: (2010) -
Combining deep neural network and fourier series for tourist arrivals forecasting
by: Shabri, A., et al.
Published: (2020) -
Tourism forecasting using hybrid modified empirical mode decomposition and neural network
by: Yahya, Nurhaziyatul Adawiyah, et al.
Published: (2017) -
A hybrid arima and neural network for yields prediction
by: Samsudin, Ruhaidah, et al.
Published: (2008)