fractual

利用matlab simulink 中的标定优化工具箱，建立发动机模型并优化标定(Model based calibration)

LevelSet toolbox by UCSB 提供了水平集计算轮廓的功能(LevelSet toolbox by UCSB provides a level set function of the computation of contour)

matlab应用程序实例1 matlab应用程序实例1(matlab)

本文主要介绍了功率谱估计中古典谱估计中的周期图法和现代谱估计中的 AR模型Burg算法，对这两种算法进行了原理说明，并对其进行了仿真，通过结果分析比较其优缺点。 (In this paper, power spectral estimate the Burg AR model algorithm in the the periodogram in classical spectral estimation method and the modern spectral estimation, the principle description of these two algorithms and compare their excellent analysis of simulation results shortcomings.)

This is the Pattern Recognition toolbox from research Group of the TU Delft

说明：  Matlab 人工神经网络工具箱中的BP 工具函数及其应用(Matlab neural network toolbox of BP tools function and its application)

此压缩包为图像识别中sift算法demo，以MATLAB为开发平台。(This archive sift algorithm for image recognition demo, for the development platform in MATLAB.)

是一个讲解fft的例子，内有程序的详细注解，很不错的demo，(fft learning process, very good demo, with detailed notes)

Hermite差值函数算法，输入两端点的函数值以及导数，输出是差值函数。(Hermite difference function algorithm, the two end points of the input function values ​ ​ and derivatives, the output is a function of the difference.)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)