Designing Functional Networks Through Evolutionary Programming

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@InProceedings{Zhou:2006:WCICA,

• author = "Yongquan Zhou and Dongdong Wang and Ming Zhang",
• title = "Designing Functional Networks Through Evolutionary Programming",
• booktitle = "The Sixth World Congress on Intelligent Control and Automation, WCICA 2006",
• year = "2006",
• volume = "1",
• pages = "3250--3254",
• address = "Dalian",
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-4244-0332-4",
• DOI = "doi:10.1109/WCICA.2006.1712968",
• abstract = "Functional network is a recently introduced extension of neural networks. Like neural networks, nowadays, there is no system designing method for designing approximation functional networks structure. A new genetic programming designing modelling method, combining genetic programming and genetic algorithm, was proposed for hybrid identification of model structure and functional parameters by performing global optimal search in the complex solution space where the structures and parameters coexist and interact. These results also show that the proposed method in this paper can produce very compact network structure and the functional networks convergent precision are improved greatly",
• notes = "Coll. of Comput. & Inf. Sci., Guangxi Univ. for Nationalities, Nanning",

}

Genetic Programming entries for Yongquan Zhou Dongdong Wang Ming Zhang

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