Description: 实现共轭梯度法的实例,该算法是一种优化算法,其具体优越性相信用者自知!-achieve conjugate gradient method example, the algorithm is an optimization algorithm, the specific advantages of knowing who to believe! Platform: |
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Author:鲤鱼 |
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Description: 这是一个实现最优化计算的程序,采用的算法为共轭梯度法。-This is a realization of optimal calculation procedure, the algorithm used to conjugate gradient method. Platform: |
Size: 2048 |
Author:宋亚平 |
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Description: Conjugate Gradient Minimization在梯度下降算法中有着重要应用。可以解决一些一般方法不容易解决的问题-Conjugate Gradient Minimization in the gradient descent algorithm has important applications. General approach can solve some difficult problems Platform: |
Size: 3072 |
Author:ZhangGeng |
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Description: 共轭梯度法,本算法是经过验证了的共轭梯度法,读者在运用到其他方面时需要修改一定的参数-Conjugate gradient method, this algorithm is verified of the conjugate gradient method, readers in the use of other aspects need to modify certain parameters Platform: |
Size: 2048 |
Author:张大莲 |
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Description: 图像重建常常被转化为解非线性无约束极值问题, 通过范数极小化推导出共扼梯度法的
一般算法。通过对模拟数据和实际工件断层扫描数据进行图像重建, 估计了算法的有效性, 结果表明, 与最速下降法相比, 此算法更适用于不完全投影数据的图像重建, 在保证重建图像拟合度的同时, 大大提高了重建速度。-Image reconstruction has often been transformed into solving nonlinear unconstrained extremum problem, through the norm minimization derived conjugate gradient method the general algorithm. Through the simulation data and actual data workpiece tomography image reconstruction, it is estimated that the effectiveness of the algorithm, the results showed that compared to steepest descent method, this algorithm is more applicable to incomplete projection data image reconstruction, in ensuring that the reconstructed image fit at the same time, greatly improving the speed of reconstruction. Platform: |
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Author:孙翔 |
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Description: FR共轭梯度算法求极小值。y为给定函数,x为函数变量,x0为搜索起始点
返回值fm为极小值,xm为极小值点-FR conjugate gradient algorithm for the minimum. y for a given function, x as a function of variables, x0 the starting point for the search to return to the value of fm for the minimum, xm for the minimum point Platform: |
Size: 1024 |
Author:夏巍 |
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Description: 无约束优化中的共轭梯度算法程序,解压缩后就可以用了-Unconstrained optimization of the conjugate gradient algorithm procedure can be extracted after the Platform: |
Size: 71680 |
Author:idhot |
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Description: 从ML-EM 重建算法入手,分析了贝叶斯模型的一些关键点,针对采用传统方法求解MAP问题的局限性,提出一种用于正电子成像的贝叶斯神经网络重建算法,为了保留边缘信息,引入了二进制的保边缘变量,并应用共轭神经网络求解,模拟的重建结果表明,应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points, the use of traditional methods for solving the problem of the limitations of MAP, a positron imaging for the Bayesian neural network algorithm, in order to to retain the edge information, the introduction of binary variables edge security, and application of neural network for solving the conjugate, the reconstruction of simulated results show that the algorithm can be more than ML-EM image reconstruction algorithm better @ Platform: |
Size: 285696 |
Author:李浩 |
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Description: 一部讲CT图像重建很经典的书籍,涉及很多原理与算法方面的东西-A talk about the reconstruction of CT images of the classic books, the principle involves a lot of things with the algorithm Platform: |
Size: 4151296 |
Author:hupeng |
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Description: NetScore - Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me if you have questions.-NetScore- Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me if you have questions. Platform: |
Size: 1598464 |
Author:claire |
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Description: 此代码用于完成MRI图像的压缩采样重建。它是论文"Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007中的源码-This is an implementation of Compressed Sensing reconstruction for MRI data.
It implements the non-linear conjugate sub-gradient algorithm as described in
the paper "Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging", 2007
Magn Res Med, In Press.
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Size: 19181568 |
Author:李琳 |
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Description: 共轭梯度算法C程序,本程序适用于n设计变量的函数优化问题,对于不同的设计变量个数可以改变维数,该算法程序只在主函数中与其他无约束程序有差别,其他部分基本一样。-Conjugate gradient algorithm C procedures, the procedures for n design variables of the function optimization problem, the number of different design variables can change the dimension, the algorithm is only in the main function and other non-binding procedures are different from other parts of the basic the same. Platform: |
Size: 2048 |
Author:AresOne |
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