资源列表
LZ77arithmetic
- 测试压缩一个425K的文件需要9.4秒，压缩后的文件为177K。如果要提高压缩速度，那么算法的复杂度就得增加了。 -compression testing of a 425K file 9.4 seconds, compressed the files to 177K. If we are to raise compression speed, then the algorithm complexity must increase.
时间陷阱
- 数据结构底层经典算法——时间陷阱，请大家参考-underlying data structure classical algorithm -- time trap, please refer to
遗传算法模板
- 用vb写的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。-used to write the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account.
fmaxga
- 基于Matlab的函数优化遗传算法程序,包含了遗传算法实现的大部分步骤，而且有详细的注释.-Matlab functions genetic algorithm optimization procedures, including the genetic algorithm to achieve the most steps, and detailed notes.
De Jong
- 用谢菲尔德遗传算法工具箱调试 DeJong 函数的说明-with Sheffield GA Toolbox debugging function DeJong Note
GA-TSP
- 用育种算法求解售货商问题。设有10个城市，售货商从0号城市出发要把货物送到其他9个城市，且每个城市只能达到一次，最后回到0号城市-breeding algorithm used to solve the problem of goods sold. With 10 cities, sales from 0 to cities starting the goods should be sent to the other nine cities, and each city can only rea
Matlab 6.X辅助神经网络分析与设计
- matlab神经网络工具箱分析设计-Matlab Toolbox neural network analysis and design
信号仿真
- 对常见的调制信号在软件无线电的通用平台下进行调制解调。所有信号均通过正交分解后，在一个同用的平台上进行调制，然后通过各自的解调算法解调。-right common modulation radio signals in the software under a common platform for modulation and demodulation. All signals are orthogonal decomposition, the same one used on the pla
神经网络_test
- 一个用来测试神经网络的程序。在matlab中直接打开即可。-a neural network used to test procedures. In Matlab can be opened directly.
SmartMiner
- 一个简单灵活的数据挖掘实验平台，算法基本为空，但提供读数据，基本数据预处理功能，欢迎大家使用，共同提高。-a simple and flexible experimental data mining platform, the basic algorithm for air, but for reading data, the basic data preprocessing functions Everyone is welcome to use together.
大数计算
- 一个用delphi编写的关于大数计算的程序，可用于计算任何大小的数字乘积，非常小巧方便，也很适用-a prepared with the majority of the calculation procedures can be used to calculate the size of any digital product, very small convenient, and very applicable
simulink 例子
- 好多simulink的例程，对于初学者和高手都需要的东西，大家多多支持-the routines for beginners and experts need something that we can support!