Combining Neural Networks and Genetic Algorithms to Predict and to Mazimize Lemon Grass Oil Production

摘要：

In this paper, a combination of Neural Networks and Genetic Algorithms have been used to Predict and maximize Lemon Grass Oil Production .The best combinations could be assessed for N+P2O5+ZnSO4 (Kgha-1) as 89.03 + 60.00 + 40.65, 114.84 + 60.00+33.39, 120.00 + 54.84 + 42.10 and 120.00 + 60.00+45.00 respectively for maximum oil production. Contribution of each nutrient combinations is also identified.

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

作者: K.K.Mishra Brajesh Kumar Singh Akash Punhani Uma Singh

作者单位: Department of Computer Science & Engineering, Faculty of Engineering & Technology R.B.S College, Bic Department of Agronomy, Agriculture Faculty R.B.S College, Bichpuri, Agra,283105, India

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 297-299

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）