Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm 2008年05月21日...

包括883分酒问题，图的遍历等人工智能基本算法-Including 883 hours of liquor problem, artificial intelligence, such as graph traversal algorithm

通俗的介绍了RVM与SVM的区别,写的非常通俗易懂-Tutorial of RVM

目前开发人工只能的朋友一定会遇到bp算法中八进制的问题，这段程序很好的解决了这个问题。我目前在作模糊控制，神经网络，遗传算法的课题，收集了很多相关程序，望同方向者探讨一二。-only friends will find bp algorithm octal problem, this process satisfactorily resolved this problem. Now I make fuzzy control, neural networks, genetic algorithms topic, a lot of collection procedures, and hopes to explore the same direction on January 2.

Bidirectional Associative Memory Heteroassociative Memory 人工智能人工神经网络源码;-Bidirectional Associative Memory Heteroassociative Memory artificial intelligence artificial neural network source

是国外相关研究人员提供的发现频繁模式（包括频繁集、频繁子图等）的最新版本算法。-Foreign researchers with the relevant frequent pattern discovery (including frequent itemsets, frequent subgraph, etc.) the latest version of algorithm.

BP批处理源代码，可自由选择三层或多次网络，和神经元数目-BP batch source code, the freedom to choose three or more networks and the number of neurons

全面讲解了有视觉机器人的解决方案，强烈推荐-comprehensive account of a robot visual solutions and strongly recommended

SMC1602A(16*2)模拟口线接线方式 连接线图: --------------------------------------------------- |LCM-----51 | LCM-----51 | LCM------51 | --------------------------------------------------| |DB0-----P0.0 | DB4-----P0.4 | RW-------P2.5 | |DB1-----P0.1 | DB5-----P0.5 | RS-------P2.6 | |DB2-----P0.2 | DB6-----P0.6 | E--------P2.7 | |DB3-----P0.3 | DB7-----P0.7 | VLCD接1K电阻到GND| --------------------------------------------------- Keyboard接线 PS/2--------51 1 DATA------P3.4 3 GND 4 VCC 5 CLK-------P3.3 接在51的外部中断，触发方式为低电平 本程序源码只供学习参考，不得应用于商业用途，如有需要请联系作者。-SMC1602A (16* 2) analog line port to connect wiring diagram:- | LCM-51 | LCM-51 | LCM 51 | | | DB0-P0.0 | DB4-P0.4 | RW-P2.5 | | DB1-P0.1 | DB5-P0.5 | RS-P2.6 | | DB2-P0.2 | DB6-P0.6 | E P2.7 | | DB3-P0.3 | DB7-P0.7 | VLCD access 1K resistor to GND |-Keyboard Connection PS/2 51 1 DATA P3.4 3 GND 4 VCC 5 CLK-P3.3 access in 51 of the external interrupt trigger mode for low-level source for learning the procedu

Running this funciton each time to compute the LBP-TOP distribution of one video sequence. Reference: Guoying Zhao, Matti Pietikainen, "Dynamic texture recognition using local binary patterns with an application to facial expressions," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(6):915-928.-It is 3D LBP, which is publised in IEEE TPAMI, a top journal of computer vision and pattern recognition. After unzipping the package, you can find a project coded in C++. After complied it, you can use it directly. Some tested images are also attached in the package.

人工智能小模型，货郎担问题，一个简单的 实例-Artificial intelligence model:a simple instance of goods selling burden problem.