数学与计算机科学 |
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直觉折线模糊数空间的完备可分性和逼近性 |
李丹1(),王贵君2 |
1.三亚学院 理工学院, 海南 三亚 572000 2.天津师范大学 数学科学学院, 天津 300387 |
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Complete separability and approximation of the intuitionistic polygonal fuzzy number space. |
Dan Li1(),Guijun WANG2 |
1.School of Science and Technology,University of Sanya, Hainan Sanya 572000 2.School of Mathematical Science,Tianjin Normal University, 300387 572000 China |
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imation performance[J]. SCIENCE IN CHINA(Series E), 2002, 32(1): 76-86. DOI:10.3969/j.issn.1674-7259.2002.01.011
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李丹, 孙刚, 王贵君. 一类三层前向折线模糊神经网络的构造[J]. 东北师大学报(自然科学版), 2012, 44(3): 55-59. LI D, SUN G, WANG G J. Construction of a class of three-layered feedforward polygonal fuzzy neural network[J]. Journal of Northeast Normal University(Natural Science Edition), 2012, 44(3): 55-59.
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李丹, 刘轶明, 王贵君. 一类折线模糊神经网络的存在性[J]. 天津师范大学学报(自然科学版), 2012, 32(1): 1-5. DOI:10.3969/j.issn.1671-1114.2012. 01.001 LI D, LIU Y M, WANG G J. Existence of a class of polygonal fuzzy neural networks[J]. Journal of Tianjin Normal University (Natural Science Edition), 2012, 32(1): 1-5. DOI:10.3969/j.issn.1671-1114.2012.01.001
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LI X P, LI D. The structure and realization of a polygonal fuzzy neural network[J]. International Journal of Machine Learning and Cybernetics, 2016, 7(3): 375-389. DOI:10.1007/s13042-015-0391-0
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王贵君, 李丹. 前向正则模糊神经网络依K-积分模的泛逼近能力[J]. 应用数学学报, 2013, 36(1): 141-152. DOI:10.3969/j.issn.0254-3079.2013.01.012 WANG G J, LI D. Capability of universal approximation of feedforward regular fuzzy neural networks in K-integral norm[J]. Acta Mathematicae Applicatae Sinica, 2013, 36(1): 141-152. DOI:10. 3969/j.issn.0254-3079.2013.01.012
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王贵君. 折线模糊神经网络与模糊系统逼近[M]. 北京: 科学出版社, 2017. doi:10.14311/nnw.2014.24.021 WANG G J. Approximation of Polygonal Fuzzy Neural Network and Fuzzy System[M]. Beijing: Science Press, 2017. doi:10.14311/nnw.2014.24.021
doi: 10.14311/nnw.2014.24.021
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