用gsl实现Levenberg-Marquardt算法
用gsl实现Levenberg-Marquardt算法...
levenberg-marquardt技术资料
📦 资源总数：15
💻 源代码：94
levenberg-Marquardt算法是一种高效的非线性最小二乘优化方法，广泛应用于信号处理、控制系统及机器学习等领域。它结合了梯度下降法与高斯-牛顿法的优点，在求解复杂模型参数估计问题时表现出色。无论是进行传感器数据拟合还是神经网络训练，掌握这一技术都能显著提升您的项目效率与精度。本站提供19个精选资源，助您深入理解并灵活运用levenberg-Marquardt算法解决实际工程难题。
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查看全部15个资源 »Levenberg-Marquardt最小二乘拟合
Levenberg-Marquardt最小二乘拟合...
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is p
％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. ...
A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bund
A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a computer vision/photogrammetry pr...
a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm
a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm...
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