000162150 001__ 162150
000162150 005__ 20180122231206.0
000162150 037__ $$a347-2016-17087
000162150 037__ $$a347-2016-17589
000162150 037__ $$a901-2016-65892
000162150 037__ $$a901-2016-66394
000162150 041__ $$aen_US
000162150 084__ $$aQ16
000162150 084__ $$aQ15
000162150 245__ $$aAgricultural Price Forecasting Using Neural Network Model: An Innovative Information Delivery System
000162150 260__ $$c2013
000162150 269__ $$a2013
000162150 300__ $$a12
000162150 336__ $$aJournal Article
000162150 520__ $$aForecasts of food prices are intended to be useful for farmers, policymakers and agribusiness industries.
In the present era of globalization, management of food security in the agriculture-dominated developing
countries like India needs efficient and reliable food price forecasting models more than ever. Sparse and
time lag in the data availability in developing economies, however, generally necessitate reliance on time
series forecasting models. The recent innovation in Artificial Neural Network (ANN) modelling
methodology provides a potential price forecasting technique that is feasible given the availability of
data in developing economies. In this study, the superiority of ANN over linear model methodology has
been demonstrated using monthly wholesale price series of soybean and rapeseed-mustard. The empirical
analysis has indicated that ANN models are able to capture a significant number of directions of monthly
price change as compared to the linear models. It has also been observed that combining linear and
nonlinear models leads to more accurate forecasts than the performances of these models independently,
where the data show a nonlinear pattern. The present study has aimed at developing a user-friendly ANN
based decision support system by integrating linear and nonlinear forecasting methodologies.
000162150 542__ $$fLicense granted by Surabhi Mittal (mittal_surabhi75@yahoo.com) on 2014-01-02T10:20:46Z (GMT):

<center>  <h2> Deposit Agreement </h2> </center>
I represent that I am the creator of the digital material identified herein (&ldquo;Work&rdquo;).
I represent that the work is original and that I either own all rights of copyright 
or have the right to deposit the copy in a digital archive such as AgEcon Search. 
I represent that in regard to any non-original material included in the Work I have
secured written permission of the copyright owner (s) for this use or believe this 
use is allowed by law. I further represent that I have included all appropriate 
credits and attributions. I hereby grant the Regents of the University of Minnesota
(&ldquo;University&rdquo;), through AgEcon Search, a non-exclusive right to access, reproduce, 
and distribute the Work, in whole or in part, for the purposes of security, preservation,
and perpetual access. I grant the University a limited, non-exclusive right to make
derivative works for the purpose of migrating the Work to other media or formats in
order to preserve access to the Work. I do not transfer or intend to transfer any 
right of copyright or other intellectual property to the University. If the Deposit 
Agreement is executed by the Author�s Representative, the Representative shall separately
execute the following representation: I represent that I am authorized by the Author
to execute this Deposit Agreement on behalf of the Author.

000162150 650__ $$aAgricultural and Food Policy
000162150 6531_ $$aHybrid model
000162150 6531_ $$aneural networks
000162150 6531_ $$aprice forecasting
000162150 6531_ $$aagriculture
000162150 700__ $$aJha, Girish K.
000162150 700__ $$aSinha, Kanchan
000162150 773__ $$dJuly-December 2013$$jVolume 26$$kNumber 2$$o239$$q229$$tAgricultural Economics Research Review$$tAgricultural Economics Research Review
000162150 8564_ $$s355814$$uhttp://ageconsearch.umn.edu/record/162150/files/8-GK-Jha.pdf
000162150 887__ $$ahttp://purl.umn.edu/162150
000162150 909CO $$ooai:ageconsearch.umn.edu:162150$$pGLOBAL_SET
000162150 912__ $$nSubmitted by Surabhi Mittal (mittal_surabhi75@yahoo.com) on 2014-01-02T10:22:36Z
No. of bitstreams: 1
8-GK-Jha.pdf: 355814 bytes, checksum: ae9e322ccb9b06cf6f3d1599dbc6b475 (MD5)
000162150 912__ $$nMade available in DSpace on 2014-01-02T10:22:36Z (GMT). No. of bitstreams: 1
8-GK-Jha.pdf: 355814 bytes, checksum: ae9e322ccb9b06cf6f3d1599dbc6b475 (MD5)
  Previous issue date: 2013
000162150 982__ $$gAgricultural Economics Research Review>Volume 26, Number 2, July-December 2013
000162150 980__ $$a347
000162150 980__ $$a901