Description: 阐述了遗传算法的基本原理,对MATLAB 遗传算法工具箱(GAOT) 的参数使用进行
了详细介绍,探讨了MATLAB 遗传算法工具箱(GAOT) 在水资源非线性规划和多目标规划时的
应用,并用简单实例证明了这种应用具有良好的通用性、可行性和简便性,可以得到较满意的
优化计算结果。-Expounded the basic principles of genetic algorithm, the MATLAB Genetic Algorithm Toolbox (GAOT) using the parameters described in detail, discusses the MATLAB Genetic Algorithm Toolbox (GAOT) in water resources planning and non-linear multi-objective planning applications, and with a simple example shows that the application has a good general-purpose, feasibility and simplicity, can be more satisfied with the results of the optimization calculation. Platform: |
Size: 165888 |
Author:dh |
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Description: ：主要介绍m序列、Gold序列、Kasami序列和JPL序列的生成原理及其MATLAB的实现，并介绍如何用MATLAB中
Simullnk对其进行硬件仿真，给出了相应自相关和互相关结果。-: The main introduction m sequence, Gold sequences, Kasami sequences and sequences generated JPL principle and the realization of MATLAB, and introduce how to use MATLAB in their Simullnk hardware simulation, the corresponding auto-correlation and cross-correlation results. Platform: |
Size: 156672 |
Author:毛淑华 |
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Description: matlab编程的基本知识以及信号处理、优化、神经网络、图像处理等方面的应用，有简单的示例程序。-matlab basic knowledge of programming and signal processing, optimization, neural networks, image processing and other applications, a simple example of the procedure. Platform: |
Size: 12737536 |
Author:guo guo |
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Description: matlab在27种问题中的应用包括
等切面曲线和相似曲线
旋转网球的轨迹
道路照明问题
计算平面日晷等
-matlab 27 kinds of problems in the application of such section, including rotation curve and the curve similar to tennis, track lighting and other problems of plane sundial Platform: |
Size: 10228736 |
Author:candy |
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Description: 五组在matlab中应用的小程序：（1）carspls and carsplslda，竞争性自适应重加权算法（cars）筛选特征变量，并建立PLS定量或定性模型（2）mcuvepls 蒙特卡罗抽样无关信息消除后，建立PLS定量和定性模型（3）osc，正交信号校正的多变量数据处理方法（4）plot cars-lda-mcs,表征cars-lda-mcs的结果（5）demo 对以上carspls and carsplslda，mcuvepls 方法在matlab中实现举例演示-Five groups codes in matlabapplication: (1) carspls and carsplslda, competitive adaptive re-weighted algorithm (cars) for characteristic variables selection, and the establishment of PLS quantitative or qualitative model (2) mcuvepls， Monte Carlo sampling and the uninformative variables elimination （UVE）， and the establishment of quantitative and qualitative PLS model (3) Orthagnal signal correction（osc）, multivariate data processing method (4) plot cars-lda-mcs, characterization results of cars-lda-mcs (5) the demo about carspls and carsplslda, mcuvepls method implementation in matlab Platform: |
Size: 4096 |
Author:詹雪 |
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