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检索条件"主题词=sequential function approximation"
4 条 记 录,以下是1-10 订阅
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Control of air pollution sources based on method of consecutive functional approximation
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Journal of Measurement Science and Instrumentation 2016年 第4期7卷 375-378页
作者: Filonchyk Mikalai YAN Hao-wen Hurynovich Volha Stroi Anton School of Environmental and Municipal Engineering Lanzhou Jiaotong UniversityLanzhou 730070China Department of Geographic Information Science Lanzhou Jiaotong University Lanzhou 730070 China School of Mathematics and Physics Lanzhou J iaotong UniversityLanzhou 730070China
In this article the approach was used to coherent assessment based on the intensity of air pollution sources impact on the impurity concentration at a few fixed points to monitor air quality. The numerical analogue ... 详细信息
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A Growing and Pruning Method for Radial Basis function Networks
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IEEE TRANSACTIONS ON NEURAL NETWORKS 2009年 第6期20卷 1039-1045页
作者: Bortman, M. Aladjem, M. Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel
A recently published generalized growing and pruning (GGAP) training algorithm for radial basis function (RBF) neural networks is studied and modified. GGAP is a resource-allocating network (RAN) algorithm, which mean... 详细信息
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sequential function approximation for the solution of differential equations
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International Journal for Numerical Methods in Biomedical Engineering 1998年 第12期13卷
作者: Andrew J. Meade Jr. Michael Kokkolaras Boris A. Zeldin Department of Mechanical Engineering and Materials Science William Marsh Rice University Houston TX 77251-1892 U.S.A.
A computational method for the solution of differential equations is proposed. With this method an accurate approximation is built by incremental additions of optimal local basis functions. The parallel direct search ... 详细信息
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sequential function approximation for the solution of differential equations
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COMMUNICATIONS IN NUMERICAL METHODS IN ENGINEERING 1997年 第12期13卷 977-986页
作者: Meade, AJ Kokkolaras, M Zeldin, BA Rice Univ Dept Mech Engn & Mat Sci Houston TX 77251 USA
A computational method for the solution of differential equations is proposed. With this method an accurate approximation is built by incremental additions of optimal local basis functions. The parallel direct search ... 详细信息
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