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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 12,Issue 5, Mar. - Apr. 2024"
Successfully Published
Volumes / Issues
Mail your paper at E-mail:
IJAIR NAAS Score : 3.99 (2016 - 2020)
submit2ijair@yahoo.in , submit@ijair.org
Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
https://timelinepublication.com/
Effect of Distribution of Dataset for Model Development using Neural Network Fitting with Emphasis on Yield of Cotton
- Dr. T. M. V. Suryanarayana; Dr. Falguni Parekh
- The study was carried out to develop a weather based model on yield of cotton using Neural Network Fitting Tool for various sizes of data set. There is significance effect of various climatological data on yield of cotton. The climatological data for the hot weather season are collected for the period 1981- 2006 and correlated with yield of cotton in Vallabh Vidyanagar using neural network fitting. To form the dataset for model development and Evaluation, three alternatives are considered. In Alternative 1, 70% of data of Maximum and minimum temperatures, sunshine hours, relative humidity and wind velocity are correlated with yield data and 30% data are used for Evaluation of the model. In Alternative 2, 60% of above mentioned data are used to develop the model and 40% data are used to validate the model. In Alternative 3, 80% data are correlated with yield and 20% data are utilized for Evaluation of the model. Then, all the model are re-trained until the best coefficient of correlation is obtained and this corresponding model is considered as the best model and this is further used to validate the remaining dataset. This whole procedure is repeated for three different Alternatives. The results shows that the best model is obtained for alternative 1, in which R for training, testing and validation for model development are 0.92, 0.66 and 0.86 respectively and R for Evaluation is 0.72. The overall R value is 0.5 for this alternative. It can be concluded from the overall study that considering all the five climatological parameters, with use of 70% data for model generation and 30% data for Evaluation, the correlation is achieved as the best. The use of Neural Network fitting is quite helpful in studying the effect of distribution of dataset for model development.
- Select Volume / Issue:
- Year:
- 2012
- Type of Publication:
- Article
- Keywords:
- Climatological Data; Neural Network Fitting; Coefficient of Correlation; Yield
- Journal:
- IJAIR
- Volume:
- 1
- Number:
- 2
- Pages:
- 59-64
- Month:
- Sept.
- ISSN:
- 2319-1473
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