粗糙集属性约简算法程序和相应的学术文章,以及一些参考资料和学习网站...

书籍“Regularization tools for training large feed-forward neural networks using Automatic Differentiation”的源码文件-Books

遗传规划算法的VC程序实现 智能算法：遗传规划，即关于GP的VC代码程序，在项目文件中包含了GP的程序设计代码和经典问题求解程序。可以参考该程序进行遗传规划的程序设计工作，用于自己的毕业设计中。-genetic programming algorithm for the VC program Intelligent Algorithm : genetic programming, on the VC GP code procedures, the project document contains GP programming code and classic problem solving process. Can refer to the procedures of genetic planning process design work for their graduation design.

径向基函数网络应用实例-RBF Network Application

这个程序是关于遗传算法c源程序，可以通过这个源程序明白什么是遗传算法-on genetic algorithm c source, the source can understand what genetic algorithms

此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest

图像分割的实例程序，其中的CDib类可以直接应用于其他的图像处理程序。-examples of image segmentation procedures, which the CDib categories can be directly applied to other image processing.

hough变换的代码，这个变换可以原来检测直线或圆等图形。-Hough Transform code, can transform the original circular or linear detection, such as graphics.

神经网络和遗传算法在水科学领域的应用-neural networks and genetic algorithms in the field of water science applications

对于学习混沌理论的人很有用的，这也是搜集到的-Chaos Theory for the study were very useful, which is collected

此为疾病诊断专家系统，用这种结构建立的知识库可以很方便地实现上面所提到的各种功能。这种结 构的最独特之处就是依靠相同的关键（疾病名或其代码）来实现一种疾病与其症候之 间的相互联系。疾病名与症候分别用二叉树进行排序。排序后可由疾病名而查到与该 疾病名有关的所有详细情况，也可由一种症候而查到哪些疾病有这种症候，以及该症 候可能引起各种疾病的概率。-This is the disease diagnosis expert system, using this structure to establish the knowledge base can easily realize the above mentioned features. The structure of the most unique is that relying on the same key (the disease or its code) to achieve a disease and its symptoms between. Name and symptoms of disease were treated with binary tree sort. Sort by the disease after the name of the disease were found with all the details of which can also be a symptom of the diseases that have found such a symptom, as well as the symptoms may lead to the probability of various diseases.