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MXFEM1d3
XFEMz准静态,部分编程计算的源代码，断裂力学方面的(XFEM QUASISTATIC VARIABLE)
- 2012-09-22 14:53:36下载
- 积分：1
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CHAZHI
插值；线性插值；样条插值；普通插值 ；编程(Interpolation one)
- 2015-01-18 10:40:45下载
- 积分：1
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TCRT1000
The TCRT1000/ TCRT1010 have a compact
construction where the emitting-light source and the
detector are arranged in the same direction to sense
the presence of an object by using the reflective
IR-beam from the object.
The operating wavelength is 950 nm. The detector
consists of a phototransistor.
- 2013-12-19 15:17:55下载
- 积分：1
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Recognize_Diffrent_Shapes
An application for recognising diffrent shapes in matlab
- 2010-03-08 18:35:37下载
- 积分：1
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fit_ML_log_normal
fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
Given the samples of a laplace distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = 1/(2*b)*exp(-abs(x-u)/b)
with parameters: u,b
format: result = fit_ML_laplace( x,hAx )
input: x - vector, samples with laplace distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
u,b - fitted parameters
CRB_b - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:07:30下载
- 积分：1
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BSS_-Part_1_3
盲信号分离的三篇经典文章。Part One，首次提出了一种基于神经网络的学习算法（H-J算法），成功地实现了两个语音信号的分离，从而开启了一个新的领域。虽然他们的学习算法是启发式的并且没有明确指出需利用观测信号的高阶（高于二阶）统计信息，但是其迭代计算公式已具备后来ICA在线算法的雏形。
Part Two和Part Three：分别是从两个不同的角度来证明HJ算法的稳定性（主要是对源信号个数为2的情况给的证明），可惜的是，给出的稳定性条件都不是充要条件。(The three classic papers of blind signal separation(BSS).)
- 2012-04-18 22:44:46下载
- 积分：1
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Example Problems
说明： 基于代理模型的工程设计Example Problems(Example Problems)
- 2020-08-03 15:07:55下载
- 积分：1
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chaper2
非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第一章绪论(Very good books, Particle Swarm Optimization for Chapter 8 and Appendix 2, followed by From Chapter I Introduction)
- 2008-12-20 11:36:08下载
- 积分：1
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bsttccomp
using terlis code to generate stbc
- 2010-12-13 17:48:52下载
- 积分：1
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适应度函数的算法
排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)
- 2010-05-13 11:49:12下载
- 积分：1
