NetLogo实现双货仿真模型

人工智能中的遗传算法权威书籍 适合初学者-Genetic Algorithms in Artificial Intelligence the authority of books suitable for beginners

数据挖掘中很不错的源码,一个share算法的java源程序,有极好的可读性-data mining is a good source, a share algorithm java source files, has an excellent readability

A star 算法类的实现(算法接口，针对迷宫问题设计)-algorithm to achieve the category (algorithm interface design issues against maze)

多段图的分析算法,找到最优路径,用VC编的-more of the map analysis algorithms to find the optimal path, the series with VC

基于VC开发的神经网络工具箱，能进行各种神经网络的开发与设计(annie1.5)-development of the VC-based neural network toolbox that can be used for a variety of neural network development and design (annie1.5)

隐马尔科夫模型工具箱windows可执行版本，可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification

一个利用hough变换来检测图像中直线的函数的源代码-using a Hough transform to detect images linear function of the source code

支持向量机(SVM)的SMO算法实现。包括matlab源代码文件、支持向量机的pdf文档，源代码word文档。-Support Vector Machine (SVM) algorithm of SMO. Including the matlab source code files, Support Vector Machines pdf documents, source code for word documents.

自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..

识别动物的专家系统,包括长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统,表现了专家系统的框架结构-Expert system to identify animals, including giraffes, zebras, ostriches, penguins, albatrosses and other seven animals, a simple expert system, the performance of the expert system framework