Synthesis of neural tree models by improved breeder genetic programming

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@Article{journals/nca/QiLM12,

• title = "Synthesis of neural tree models by improved breeder genetic programming",
• author = "Feng Qi and Xiyu Liu and Yinghong Ma",
• journal = "Neural Computing and Applications",
• year = "2012",
• number = "3",
• volume = "21",
• pages = "515--521",
• keywords = "genetic algorithms, genetic programming, neural tree model, noisy fitness evaluation, improved breeder genetic programming, Gaussian mutation, time series",
• DOI = "doi:10.1007/s00521-010-0451-z",
• size = "7 pages",
• abstract = "Neural tree model has been successfully applied to solving a variety of interesting problems. In most previous studies, optimisation of the neural tree model was divided into two steps: first structure optimisation, then parameter optimisation. One major problem in the evolution of structure without parameter information was noisy fitness evaluation. In this paper, an improved breeder genetic programming algorithm is proposed to the synthesis of neural tree model. The effectiveness and performance of the method are evaluated on time series prediction problems and compared with those of related methods. Simulation results show that the proposed algorithm is a potential method with better performance and effectiveness.",
• notes = "Mackey-Glass",
• affiliation = "School of Management and Economics, Shandong Normal University, Jinan, China",
• bibdate = "2012-03-20",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/nca/nca21.html#QiLM12",

}

Genetic Programming entries for Feng Qi Xiyu Liu Yinghong Ma

Citations