资源列表
Robust-Detection-of-Abandoned
- 最新遗失遗留检测,很好的文章,感 兴趣的可以好好研究-Robust Detection of Abandoned.rar
suanfa
- 一些经典算法包括count统计数字问题，gap最大间隙问题，金币阵列问题，字典序问题，最多约数问题-Some classic algorithms, including count statistics problem, gap maximum clearance issues, gold array of issues, the dictionary sequence of up to about several issues
maxent-master
- 最大熵模型算法，用于统计学习，文本分类，文本聚类研究-The maximum entropy model algorithm for statistical learning, text classification, text clustering research
get-pip
- 安装pip,这是关于python版本的0.9.1的版本，是目前最新版本，可以安装各种功能包，在这里推荐给大家。(installing PIP, which is version 0.9.1 of python version, is the latest version of the current version, which can be installed with various functional packages, which are recommended here.)
pptOfNeuralNetworks.rar
- 本资源是大学本科课程所用的PPT课件，详细阐述了神经网络的发展史、理论基础、典型实例、控制模型和MATLAB中UN工具箱的使用。,The resources are used in undergraduate courses of the PPT courseware, detailed history of the development of neural networks, theoretical basis, a typical example, the control model an
WT_NN
- Wavelet analysis is used as a pre processor for a back-propagation neural network with conjugate gradient learning. The inputs to the neural network are the wavelet maxima neighborhood coefficients of face images at a particular scale. The output of
BPNN
- BP神经网络，用于辨识系统逆模型。模型为汽车动力学模型实时参数。-BP neural network recognition system inverse model. The model for real-time vehicle dynamics model parameters.
incremental_svm
- 这是对Incremental Support Vector Machine Learning的C++实现。其中提供了测试数据供使用者入手。-This is the Incremental Support Vector Machine Learning for C++ implementation. Which provides test data for the user to start with.
eight-digital-Breadth-first
- 宽度优先搜索解决八数码问题，包含源文件及详细注释-Breadth-first search to solve eight digital
GMTChineseHelpBook
- GMT Chinese Help Book, is useful to help someone learning GMT in Chinese.
fet-3.17.11
- 遗传算法做排课软件源码！写的非常不错，利用遗传算法实现了快速排课！-Timetabling software source code genetic algorithm to do! Very well written!
complex-network
- 复杂网络工具箱，包括SIS、SIR模型等，及度、k-shell的计算等。-Complex network toolbox, including the SIS \ SIR model, and the degree of k-shell calculation.