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ADINA84

于 2018-12-23 发布

 0  178

下载积分: 1 下载次数: 6

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代码说明：

说明：该程序是大型有限元ADINA的源程序代码(This program is the source code of large finite element ADINA.)

文件列表：

ADINA84\A01A.FOR, 133960 , 2000-06-09
ADINA84\A01B.FOR, 152147 , 2000-06-11
ADINA84\A02A.FOR, 76513 , 2000-06-27
ADINA84\A02B.FOR, 93613 , 2000-06-09
ADINA84\A03A.FOR, 69957 , 2000-06-09
ADINA84\A03B.FOR, 61569 , 2000-06-09
ADINA84\A04A.FOR, 62227 , 2000-06-09
ADINA84\A04B.FOR, 62344 , 2000-06-09
ADINA84\A05.FOR, 7008 , 2000-06-09
ADINA84\A06.FOR, 37886 , 2000-06-09
ADINA84\A07.FOR, 152 , 2000-06-09
ADINA84\A08.FOR, 21364 , 2000-06-09
ADINA84\A09.FOR, 16198 , 2000-06-09
ADINA84\A10.FOR, 48871 , 2000-06-09
ADINA84\A11.FOR, 143 , 2000-06-09
ADINA84\A12.FOR, 3957 , 2000-06-09
ADINA84\A13.FOR, 11976 , 2000-06-09
ADINA84\A14.FOR, 116638 , 2000-06-09
ADINA84\A15.FOR, 5779 , 2000-06-09
ADINA84\A16.FOR, 40137 , 2000-06-09
ADINA84\A17.FOR, 146 , 2000-06-09
ADINA84\A18.FOR, 19368 , 2000-06-09
ADINA84\A19.FOR, 14830 , 2000-06-09
ADINA84\A20.FOR, 48770 , 2000-06-09
ADINA84\A21.FOR, 11744 , 2000-06-09
ADINA84\A22A.FOR, 71725 , 2000-06-09
ADINA84\A22B.FOR, 26624 , 2000-06-09
ADINA84\A23.FOR, 94243 , 2000-06-09
ADINA84\A24.FOR, 80833 , 2000-06-09
ADINA84\A25A.FOR, 53184 , 2000-06-09
ADINA84\A25B.FOR, 119740 , 2000-06-09
ADINA84\A26.FOR, 14786 , 2000-06-09
ADINA84\A27A.FOR, 79810 , 2000-06-09
ADINA84\A27B.FOR, 62672 , 2000-06-09
ADINA84\A28.FOR, 47630 , 2000-06-09
ADINA84\A29.FOR, 56833 , 2000-06-09
ADINA84\A30.FOR, 40107 , 2000-06-09
ADINA84\A31.FOR, 121603 , 2000-06-09
ADINA84\A32.FOR, 18338 , 2000-06-09
ADINA84\A33.FOR, 19367 , 2000-06-09
ADINA84\A34.FOR, 57087 , 2000-06-09
ADINA84\A35.FOR, 12767 , 2000-06-09
ADINA84\A36.FOR, 71550 , 2000-06-09
ADINA84\A37.FOR, 88880 , 2000-06-09
ADINA84, 0 , 2018-12-22

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0 个回复

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对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.)

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