DocumentCode
1955701
Title
Notice of Retraction
Performance evaluation of sigmoid functions with hybrid computational method for Optimizing Lemon Grass Oil Production
Author
Singh, B.K. ; Punhani, A. ; Shafiqulabidin ; Nigam, R.
Author_Institution
Dept. of Comput. Sci. & Eng., R.B.S. Coll., Agra, India
Volume
9
fYear
2010
fDate
9-11 July 2010
Firstpage
379
Lastpage
383
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Two different Approaches are used to Optimize Lemon Grass Oil Production. Oil Production is compared and Production-Nutrient ratio comparison also shows that Logistic function is giving best result for production-nutrient ratio. So logistic Function proved to be better for optimizing results in our case.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Two different Approaches are used to Optimize Lemon Grass Oil Production. Oil Production is compared and Production-Nutrient ratio comparison also shows that Logistic function is giving best result for production-nutrient ratio. So logistic Function proved to be better for optimizing results in our case.
Keywords
agriculture; backpropagation; functions; genetic algorithms; neural nets; performance evaluation; hybrid computational method; lemon grass oil production optimization; logistic function; production-nutrient ratio comparison; sigmoid functions performance evaluation; Computational modeling; Neurons; Soil; Back propagation neural network; Genetic algorithm; fertilizers; oil production;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564913
Filename
5564913
Link To Document