- CtlView 程序实现了几个window应用程序定义的子窗口
- mdi-forms mdi forms example. implemented a simple image editor.
- QuickSearchBox 这是快速搜索的源码
- PropagationEngineeringWirelessCommunications2011. it s an excellent book for Abdollah Ghasemi AliAbediFarshid Ghasemi Propagation Engineering Wireless Communications20
- chenwei2 三机九节点系统用于电力网模型仿真
- pankai MinkowskiMethod算法
资源列表
exp02_nn_test
- 清华大学-模式识别-边肇棋 神经网络源码 根据原文编程，不调用MATLAB函数，便于加深知识理解-neural network code in matlab
some-little-games
- 里面包含猜数字、电脑开奖、键盘练习、贪吃蛇等多个游戏，。-Guess which contains computer lottery, keyboard exercises, Snake and many other games.
Handwritten-Character
- 基于CNNs的手写字符识别系统，载入MNIST手写字符数据库，通过训练提取特征，达到99 的识别率-Based on CNNs handwritten character recognition system, load MNIST handwritten character database, extract features through training, up to 99 recognition rate
sample3
- 自学习和自适应能力：BP神经网络在训练时，能够通过学习自动提取输出、输出数据间的“合理规则”，并自适应的将学习内容记忆于网络的权值中。即BP神经网络具有高度自学习和自适应的能力-Self-learning and adaptive capacity: BP neural network during training, the output can be automatically extracted by learning " rule of reason" between
sample2
- 非线性映射能力：BP神经网络实质上实现了一个从输入到输出的映射功能，数学理论证明三层的神经网络就能够以任意精度逼近任何非线性连续函数。这使得其特别适合于求解内部机制复杂的问题，即BP神经网络具有较强的非线性映射能力-Nonlinear mapping ability: BP neural network essentially implements a mapping from input to output function, the mathematical proof of the thr
ORCS-algorithm
- 一阶布谷鸟搜素算法，该算法是CS的改进版本，在收敛性能方面有较大改善！-One Rank Cuckoo Search (ORCS) algorithm Implementation of the ORCS optimization algorithm.
Determination-SVM-classifier-
- 交叉验证的实现，判定SVM分类器 支持向量机SVM(Support Vector Machine）是一种可训练的机器学习方法。-The realization of cross-validation to determine SVM classifier support vector machine SVM (Support Vector Machine) is a machine learning method trainable.
AOC
- 一个优化的蚁群算法的java实现,主要提供了一个大框架-An ant colony optimization algorithm to achieve the java, mainly to provide a broad framework
Computational-Linguistics
- 计算语言学PPT-常宝宝 北京大学计算语言学研究所 介绍的内容有n-gram和数据平滑、熵和语言模型评价、隐马尔可夫模型、有限状态技术和形态分析-PPT-often baby Computational Linguistics Institute of Computational Linguistics of Peking University introduced n-gram content and data smoothing, entropy and the language m
natural-language-processing
- 统计自然语言处理PPT-刘挺 中科院自动化研究所、模式识别国家重点实验室的 介绍的内容有统计机器翻译、词法分析与词性标注、语料库与词汇知识库-Statistical Natural Language Processing PPT-Ting Liu Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Pattern Recognition content presentation of
fuzzy-rules
- 主要是学习模糊规则的基本原理，包括模糊规则的设置以及模糊规则的优化等问题，值得学习与交流。-The main is to learn the basic principles of fuzzy rules, including the fuzzy rule set and the optimization problem of fuzzy rules, it is worth learning and exchange.
yiqunsaunfamax
- 基本的蚁群算法优化函数，效果良好，安全可靠。-The basic function of the ant colony optimization algorithm, the effect of general