搜索资源列表
zhuchengfen
- 主成分分析方法在各个变量之间相关关系研究的基础上，用较少的新变量代替原来较多的变量，而且使这些较少的新变量尽可能多地保留原来较多的变量所反映的信息一种方法。-Principal Component Analysis in the relationship between the various variables on the basis of the study, with fewer new variables replace the original more variable, but
rengongshenjingwangluo
- 关于人工神经网络的实用书籍，适合初学者，以及有一定基础的读者学习-Information on artificial neural networks and practical books, suitable for beginners, as well as readers of a certain basis for learning
yingjie
- 目前的商用有限元程序不但分析功能几乎覆盖了所有的工程领域，其程序使用也非常方便，只要有一定基础的工程师都可以在不长的时间内分析实际工程项目，这就是它能被迅速推广的主要原因之一。-The current commercial finite element analysis capabilities will not only cover almost all the engineering fields, and the procedure is also very easy to use, as
myGA
- 标准遗传算法，采用二进制编码，在此基础上可以进行改进。-Standard genetic algorithm, using binary code, on this basis can be improved.
migong
- 八皇后的算法，迷宫思想的主要理论基础算法-8 Queen of the algorithm, the main theoretical basis for the ideological maze algorithm! ! !
ERN
- a transmission line fault location model which is based on an Elman recurrent network (ERN) has been presented for balanced and unbalanced short circuit faults. All fault situations with different inception times are implemented on a 380-kV proto
MATLAB-book
- 这是一本很好的matlab教程，对matlab的学者有很大的帮助-this book shows the basis contents of matlab,it can help the man who study matlab.
HuffmanOptimalbinarytree
- 利用Huffman算法，构造最优二叉树，它是霍夫曼编码的基础。-Huffman algorithm is used to construct optimal binary tree, which is the basis of Huffman coding.
libsvm_library
- 介绍台大svm工具箱基础内容，学习SVM的人可以好好看下！-National Taiwan University svm toolbox describes the basis of content, learning SVM people can make good Kanxia!
RGA
- 这是一个采用了UNDX-MMG模型的实数遗传算法。有5个测试函数。-the code is for real coded genetic algorithm using UNDX crossover and MMG model. it is tested using five bench mark function
matlab_design
- 一份matlab的ppt教程，给初学者，比较多面地介绍了matlab的基础-The ppt of a matlab tutorial for beginners, more multi-faceted introduction to the basis for matlab
shujujiegou
- C语言数据结构(word版)。 数据结构是计算机科学与技术专业的专业基础课，是十分重要的核心课程。-C language data structures (word version). Data structures in computer science and technical expertise of the professional basis of course, is very important to the core curriculum.
optimization
- 最优化算法的总结，包括了主要的搜索算法，NP问题，遗传算法，神经网络，拉格朗日松弛，对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer op
ksvd_train_for_mix
- 用ksvdbox12来构造反映源语音特性的稀疏过完备基示例。训练信号为两个说话人的语音信号。-Use the ksvdbox12 to construct sparse over-complete basis reflecting the characteristics of the training signals. Training signals used in the example are speech signals of two speakers.
S12instructionfuzzycontrolalgorithm
- 通过模糊控制的思想来对智能车的控制算法进行了优化。实际解决了智能车在拐弯时超调过大的问题。文中介绍了模糊控制的理论和S12特有的模糊控制指令。在实际经验的基础上设计出了模糊控制算法，并给出了控制规则。实践结果表明，设计的算法在实际减小智能车在转弯时的超调具有较好的效果。-Thinking through the fuzzy control for intelligent vehicle control algorithm has been optimized. Practical solutio
TABU_MTU
- 适合用于tabu搜索，这是本人用过的美国MTU的tabu程序代码，可以方便在此基础上进行改进-Suitable for tabu search, this is my MTU of the tabu used the United States code, can easily be improved on this basis,
Thetheoryofelectromagneticlayeredone-dimensionalat
- 近年来，随着应用领域的扩展，生产实践对大地电磁测深的勘探成效提出了更高要求。为地质解释提供更可靠、更细致的地球物理依据。-In recent years, with the expansion of application fields, the production practice on the exploration of magnetotelluric sounding results and set higher requirements. For the geological int
lianxufenliyouhua
- 利用matlab编写的根据连续分离变量方法设计的优化程序包-Using matlab to prepare the basis for a continuous optimization of separation of variables designed package
datastructandalogrithems
- 国外优秀的算法数据结构丛书，有六本；是英文原版的，要有相当的基础才看得懂哦。献给有需要的人。-Excellent algorithm for data structure of foreign books, there are six it is the English original, and must be able to understand the basis of a considerable oh. Dedicated to people in need.
SVMNR
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 -Support Vector Machine and BP neural network, ev