TY  - JOUR
T1  - Tensile Properties of NFRP Hybrid Composite: Modeling and Optimization
AU - Venkatesh, R. Prasanna AU - Ramanathan, K. AU - Krishnan, S. Rama 
JO  - International Journal of Soft Computing
VL  - 9
IS  - 4
SP  - 260
EP  - 266
PY  - 2014
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2014.260.266
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2014.260.266
KW  - Natural fibers
KW  -polymer-matrix composites
KW  -mechanical properties
KW  -neuro-fuzzy
KW  -Genetic algorithm
AB  - The modeling and optimization techniques are becoming more 
  popular in engineering design activities because of the availability and affordability 
  of high-speed computers. In this present contribution, a new attempt was made 
  to predict and optimize the tensile property of short roselle and sisal fiber 
  hybrid polyester composite using Neuro-Fuzzy Modeling and Genetic Algorithm 
  Method. The better tensile property with optimum fabrication parameters were 
  obtained by using single objective optimization method of Genetic Algorithm 
  (GA). The tensile property of the natural fiber hybrid polyester composite can 
  be predicted and optimized using Neuro-Fuzzy modeling as a potential modeling 
  technique and Genetic algorithm within the ranges of fabrication parameters.
ER  -