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L-M-neural-network
L-M神经网络在matlab开发环境中的实现实例,有利于初学者学习与掌握(L-M neural network in the matlab environment development to achieve the example, be helpful for beginners to learn and master)
- 2012-05-03 18:21:08下载
- 积分:1
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well_3
this is a well data number 3 for RPH sample, stored in las format
- 2013-09-01 00:49:41下载
- 积分:1
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Desktop
用matlab实现的最小二乘拟合圆,能输出半斤,圆心坐标,拟合误差等等(a program for cirfit)
- 2020-06-30 00:40:01下载
- 积分:1
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Genetic-Algorithm-master
说明: 利用计算机仿真运算,将问题的求解过程转换成类似生物进化中的染色体基因的交叉、变异等过程。在求解较为复杂的组合优化问题时,相对一些常规的优化算法,通常能够较快地获得较好的优化结果。遗传算法已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域(Using computer simulation operations, the problem-solving process is transformed into a process similar to the crossover and mutation of chromosomal genes in biological evolution. When solving more complex combinatorial optimization problems, compared with some conventional optimization algorithms, better optimization results can usually be obtained faster. Genetic algorithm has been widely used in the fields of combinatorial optimization, machine learning, signal processing, adaptive control and artificial life)
- 2020-09-18 22:57:44下载
- 积分:1
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Solutionpartialdifferentialequations
偏微分方程的MATLAB解法,能快速求解,阐述了其编程思想,很实用(Solution partial differential equations )
- 2009-11-17 10:46:52下载
- 积分:1
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CameraCalibration
摄像机标定程序,能够求得其内部参数,误差很小,适合张正友标定方法(Camera Calibration)
- 2010-05-19 15:19:30下载
- 积分:1
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MLP_BP_Matlab_V1
Implementation of two layer multiperceptron neural networks
- 2014-02-03 14:12:39下载
- 积分:1
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plot_cmp
绘制分钟级自动站气象战数据与能见度数据的对比图(Draw-the-minute weather warfare automatic station data comparison chart data and visibility)
- 2020-09-18 10:57:54下载
- 积分:1
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wgn
产生高斯白噪声,使用matlab编辑及仿真,均值为零(have a Gaussian white noise, editing and the use of Matlab simulation, mean zero)
- 2014-05-02 08:52:46下载
- 积分:1
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FIR_Filter
A 10th order FIR system, excited by a sum of 5 sinusoids. Assume any numeric
values for system coefficients and input signal parameters. The output of the system is
corrupted by Gaussian observation noise with zero mean and variance 2
σ v (consider 2
σ v = 0.1
and 1). The estimator has access to the input and noise corrupted output of the system.
However, the estimator has no knowledge about the system order, its coefficient values and
observation noise variance.
- 2010-10-31 21:53:52下载
- 积分:1