@article{MAKHILLIJSC20149421213,
    title = {Tensile Properties of NFRP Hybrid Composite: Modeling and Optimization},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {4},
    pages = {260-266},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.260.266},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.260.266},
    author = {R. Prasanna,K. and},
    keywords = {Natural fibers,polymer-matrix composites,mechanical properties,neuro-fuzzy,Genetic algorithm},
    abstract = {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.}
    }