Application of NNARX to Agricultural Economic Variables Forecasting

Imandoust, Sadegh Bafandeh; Fahimifard, Seyed Mohammad

doi:10.3923/jas.2010.1263.1270

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Their findings stated that ANFIS outperforms the ARIMA model in all three 1, 2 and 4 weeks ahead. Imandoust and Fahimifard (2010) studied the application of NNARX as a nonlinear dynamic neural network model which compares with ARIMA, as a linear model to forecast Iran's agricultural economic variables. As a case study the three horizons (1, 2 and 4 weeks ahead) of Iran's rice, poultry and egg retail price are forecasted using the two mentioned models.…”

Section: Introductionmentioning

confidence: 99%

Application of NNARX to agriculture sector value added forecasting: A case of Iran’s agriculture sector

Fahimifard¹

2012

Afr. J. Agric. Res.

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This study firstly uses the Cobb-Douglas production function and Auto-Regression Distributed Lag (ARDL) approach for estimating the long-run function of Iran's agriculture sector value added and then compares the forecasting performance of specified ARDL model with Neural Network Auto-Regressive model with eXogenous inputs (NNARX) using forecasting performance criteria (R 2 , MAD and RMSE). The results of ARDL specification indicated that 1% increase in labor, capital and energy factors will increase Iran's agriculture sector value added 0.36, 0.23 and 0.32%, respectively. Also, the results of forecast performance criteria show that NNARX nonlinear model forecasting performance for Iran's agriculture sector value added is better in contrast with the ARDL linear model because (1) The Root Mean Square Error (RMSE) and Mean Absolute Deviation (MAD) divided are less than 1 and (2) The R2 divided is more than 1. Therefore, according to the importance of the agriculture sector as the main alimentary source for mankind, accurate prediction of agriculture sector value added for its using new NNARX model is strongly recommended to the agriculture sector policy makers.

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Section: Introductionmentioning

confidence: 99%

Application of NNARX to agriculture sector value added forecasting: A case of Iran’s agriculture sector

Fahimifard¹

2012

Afr. J. Agric. Res.

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Comparative assessment of Auto Regressive Integrated Moving Average with Explanatory variable (ARIMAX) and Neural Network Autoregressive models with Exogeneous inputs (NNARX) for forecasting the old-world bollworm, Helicoverpa armigera (Lepidoptera: Noctuidae) in India

Ramana

Kumar

Jaba

et al. 2022

Int J Trop Insect Sci

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Osrednji simboli v Cankarjevem romanu Hiša Marije Pomočnice

Sosič

2022

jis

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Raziskovala sem osrednje simbole v Cankarjevem romanu Hiša Marije Pomočnice, ki v preteklosti še niso bili sistematično analizirani. Preplet več literarnih smeri in stilov v Cankarjevem romanu, tj. realizma, naturalizma, dekadence in simbolizma, sem imenovala sinkretični simbolizem, (simbolistična) ujemanja različnih zaznav ter čutnih in čustvenih vtisov, usmerjenih k duhovnemu doživljanju sveta, pa simbolistični simboli. Obravnavala sem naslednje simbole: bolnica, otroški kolektiv, vrata, bela barva, Kristus, oči. Ti so večpomenski, tako kot na primer Kristus, ki je kot vrata vstopni simbol v roman, v katerem so izpostavljene velike mirne oči kot zrcalo duše, medtem ko Kristus--reformator na koncu romana opozarja na krivičnost družbenih razmer. To uspešno kritizira tudi patološka seksualnost v podobi posilstva, pedofilije, incesta in prisilnega voyerizma, značilna samo za nemoralne bogate meščane.

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Application of NNARX to Agricultural Economic Variables Forecasting

Cited by 3 publications

References 17 publications

Application of NNARX to agriculture sector value added forecasting: A case of Iran’s agriculture sector

Application of NNARX to agriculture sector value added forecasting: A case of Iran’s agriculture sector

Comparative assessment of Auto Regressive Integrated Moving Average with Explanatory variable (ARIMAX) and Neural Network Autoregressive models with Exogeneous inputs (NNARX) for forecasting the old-world bollworm, Helicoverpa armigera (Lepidoptera: Noctuidae) in India

Osrednji simboli v Cankarjevem romanu Hiša Marije Pomočnice

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