Carbon Potential Using Genetic Programming

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@Article{Ma:2007:ca,

• author = "Xiaoli Ma and Guifa Teng and Mengjie Zhang",
• title = "Carbon Potential Using Genetic Programming",
• journal = "Control and Automation",
• year = "2007",
• volume = "23",
• number = "9",
• pages = "239--241",
• keywords = "genetic algorithms, genetic programming, carbon potential, symbolic regression, Correlation forecasting",
• ISSN = "1008-0570",
• broken = "doggy http://c.wanfangdata.com.cn/periodical/wjsjxx/2007-9.aspx",
• abstract = "This article describes the principle and technology of genetic programming. We propose a new approach to the use of genetic programming for Carbon potential problems. This approach does not rely on the problem domain, and does not need data preprocessing either. It can be used as a general method of solving related problems. This approach is of high-accuracy, and low-cost, and is suitable for online testing and controlling of Carbon Potential. In addition, it can produce visible function expressions, and deal with complex nonlinear problems.",
• notes = "

  College of Information Science and Technology Agricultural University of Hebei, 071001, China;

  School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, New Zealand",

}

Genetic Programming entries for Xiaoli Ma Guifa Teng Mengjie Zhang

Citations