4 research outputs found
Fruit production forecasting by neuro-fuzzy techniques
Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear systems. This paper presents a neuro-fuzzy model for forecasting the fruit production of some agriculture products (olives, lemons, oranges, cherries and pistachios). The model utilizes a time series of yearly data. The fruit forecasting is based on Adaptive Neural Fuzzy Inference System (ANFIS). ANFIS uses a combination of the least-squares method and the backprobagation gradient descent method to estimate the optimal food forecast parameters for each year. The results are compared to those of an Autoregressive (AR) model and an Autoregressive Moving Average model (ARMA).Fruit forecasting, neuro-fuzzy, ANFIS, AR, ARMA, forecasting, fruit production, Agricultural Finance, Crop Production/Industries,
Fruit production forecasting by neuro-fuzzy techniques
Neuro-fuzzy techniques are finding a practical application
in many fields such as in model identification and forecasting of linear
and non-linear systems. This paper presents a neuro-fuzzy model for
forecasting the fruit production of some agriculture products (olives,
lemons, oranges, cherries and pistachios). The model utilizes a time
series of yearly data. The fruit forecasting is based on Adaptive
Neural Fuzzy Inference System (ANFIS). ANFIS uses a combination
of the least-squares method and the backprobagation gradient
descent method to estimate the optimal food forecast parameters for
each year. The results are compared to those of an Autoregressive
(AR) model and an Autoregressive Moving Average model (ARMA)
Forecasting the success of a new tourism service by a neuro-fuzzy technique
International audienc
Bitcoin price forecasting with neuro-fuzzy techniques
International audienc