examples

NormFitGA:用动态线性标定适应值的遗传算法求解一维无约束优化问题 (NormFitGA: dynamic linear calibration with genetic algorithms for solving one-dimensional fitness unconstrained optimization problems)

Matlab Labs by Light(nickname), my friend, who have agreed to share them with you! His labs were completed in another style, and aren t similar to mine.

用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。(Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.)

echarts演示版代码，用于演示echarts基本使用(echarts demo code)

M-Z干涉仪结构有限差分光速传播法源程序(The source program of M-Z Interferometer in FD-BPM)

全书包含390 多个计算范例。所有算例的程序是可靠、完整的。读者可以在自己的MATLAB 环境中完全准确地重现本书所提供的算例结果。算例的举一反三，将使读者很快掌握要领，从模仿走向灵活应用。本书既可作为理工科院校研究生、本科生系统学习的教材，又可以作为广大科技工作者掌握和精通MATLAB 的自学用书和使用手册。(The book contains over 390 computing paradigm. All examples of the program is reliable and complete. Readers can own the MATLAB environment Completely and accurately reproduce the book provided by the numerical results. Examples of replicability, the reader will quickly grasp the essentials, from imitation to Flexible application. This book can be used as engineering colleges graduate, undergraduate system of learning materials, but also can work as a scientific and technological Who self-mastery and mastery of MATLAB with the book and manual.)

用Matlab神经网络实现的字符识别。可借鉴于数字识别等。(Matlab neural network of character recognition.Can be for reference in digit recognition, etc.)

局部均值分解源代码，难得的matlab程序代码(Local Mean Decomposition)

包含大量matlab资料，包括重难点解释和实例、各种函数用法(Contains a large matlab materials, including heavy and difficult explanations and examples of usage of various functions)

Rosenblatt感知机Matlab实现算法线性分类器的第一个迭代算法是1956年由Frank Rosenblatt提出的. 这个算法被提出后, 受到了很大的关注. 感知器在神经网络发展的历史上占据着特殊的位置: 它是第一个从算法上完整描述的神经网络. 在20世纪60年代和70年代, 受感知器的启发, 工程师, 物理学家以及数学家们纷纷投身于神经网络不同方面的研究. (Rosenblatt perceptron Matlab algorithm linear classifier, an iterative algorithm is proposed by Frank Rosenblatt in 1956. The algorithms have been proposed, there have been a lot of attention. Perceptron in the history of the development of neural network occupies a special Location: It is the first complete description of the algorithm neural network in the 1960s and 1970s, was inspired by the perceptron, engineers, physicists and mathematicians have engaged in different aspects of the neural network .)