Performance Evaluation of Sigmoid Functions with Hybrid Computational Method for Optimizing Lemon Grass Oil Production

摘要：

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.

关键词： Back propagation neural network fertilizers Genetic algorithm oil production

作者: Brajesh Kumar Singh Akash Punhani Shafiqulabidin Ritu Nigam

作者单位: Department of Computer Science & Engineering F.E.T., R.B.S.College, Bichpuri Agra, India Department of Information Technology Al Musanna College of Technology(Ministry of Manpower) Sultanat Department of Computer Science & Engineering BMAS Engineering College Agra, India

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 379-383

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）