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CMA-Evolutionary--Strategies
Covariance Matrix adaptation ES for optimizing
- 2020-12-14 22:39:14下载
- 积分：1
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Gs_ChGA_discrete_LYX_20070830
基于灰色系统方法的离散多目标优化设计程序，很好用(Based on gray system method of discrete multi-objective optimization design process, well used)
- 2008-12-21 09:58:32下载
- 积分：1
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fgcone
matlab 程序 圆锥拟合 使用最小二乘法(matlab cone fitting procedure using the least squares method)
- 2021-02-22 11:19:41下载
- 积分：1
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Dchaos-predica
基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见
(, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications)
- 2012-07-27 12:40:49下载
- 积分：1
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myhist
协同克里格matlab实现,包括普通克里格,变差函数和交叉变差函数的实现,三维图显示机及其协同区域化(
Cokriging matlab realize, including the realization of ordinary kriging, and cross variogram variogram, three-dimensional diagram shows the machine and its Coregionalization)
- 2014-06-25 15:42:32下载
- 积分：1
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lanczosfilter
说明： 对时间序列进行滤波，去掉噪声，得到平滑后的数据(Filters a time series via Lanczos method (cosine filter).)
- 2020-03-23 19:41:37下载
- 积分：1
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Newton
牛顿插值公式：构造插值函数空间的基函数得到的多项式逼近的方法——牛顿插值法。用于多项式插值逼近。(Newton interpolation formula: Construction interpolation function space available basis function polynomial approximation method- Newton interpolation. Approximation for the polynomial interpolation.)
- 2008-12-22 20:50:26下载
- 积分：1
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CompDam_DGD
摩擦力是抵抗固體表面，流體層和材料元件相對滑動的相對運動的力。有幾種類型的摩擦：幹摩擦是一種與之相反的力(friction is the force resisting the relative motion of solid surfaces, fluid layers, and material elements sliding against each other. There are several types of friction: Dry friction is a force that opposes the)
- 2020-06-23 10:00:01下载
- 积分：1
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ComputationalMechanicsLibrary
一个个人使用的精简了的c++有限元计算库(Finite element calculation library)
- 2018-04-15 15:39:13下载
- 积分：1
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ADAM
说明： ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度
下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好
的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient.
The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good.
It is suitable for sparse data.)
- 2019-04-09 19:59:50下载
- 积分：1
