PLY_Newmark

这是一个MATLAB7.0基础与提高例题的所有源码，希望对MATLAB7.0学习者能有所帮助。(This is a foundation and raise the MATLAB7.0 example of all-source, in the hope that students can MATLAB7.0 help.)

matlab中使用LM训练方法计算XOR，3-bit Parity，regression等问题的收敛速度，比较其收敛率。(using LEVENBERG MARQUARDT in matlab to compute convergence rate)

非线性规划中的最速下降法,黄金分割法,阻尼牛顿法,牛顿切线法.(Non-linear programming in the steepest descent method, golden section method, damping Newton s Law, Newton s tangent method.)

performs hough transform well

对运动估计传统的各个方法，例如全搜索，菱形法，自适应，三步法，四步法，以及它们的几种改进的matlab实现(Motion estimation traditional methods, such as full search, diamond method, adaptive, three-step, four-step, and their several improvements matlab implementation)

不怕明确地告诉你，这个东西啊，可以很放方便地判别运动状态的稳定性(Stability Criteria)

这是本人的数值分析作业，希望能帮租到大家，里边有源程序，及解释说明，大家仔细看，肯定会理解(In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is proposed, which yields a maximum likelihood estimation of the Kepler orbit with multi-spatio-temporal state based on both the preprocessing of the small manoeuvring model and the determining of initial value parameter with two spatio-temporal state. )

径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)

MATLAB kalman filter

matlab版的卷积神经网络，学习和交流使用.matlab版的卷积神经网络，学习和交流使用(convolutional neural network of matlab for research)