蚁群遗传算法的实现，VC++源代码！蚁 群遗传算法的实现，VC++源代码！蚁群遗传算法的实现，VC++源代码！...

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation

nsga2 C++源码实现，收敛速度很快-nsga2 C++ source code implementation, fast convergence

可拓学的专家系统,基于B/S结构,动态,网络专家系统.-Extenics expert system, based on B/S structure, dynamics, network expert system.

一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现,-a machine learning algorithm packages, including neural networks, fuzzy logic, support vector machine, MATLAB platform.

BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by

遗传算法的一个例子：旅行商问题。C++源代码，适合初学者研究遗传算法与最优化等方面的知识。-a genetic algorithm examples : the traveling salesman problem. C source code, suitable for beginners and genetic algorithm optimization and other kinds of knowledge.

人工智能课程的实验中用C语言环境实现子句归结的算法和反映-experimental artificial intelligence courses using C language environment to achieve phrase attributed to the algorithm and reflect

蚂蚁社区的源代码，用C++开发，很直观的演示-ant communities of source code, development using C, a very visual demonstration

以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.

基于Matlab的简单遗传算法和简单bp网络的程序实现-based on Matlab simple genetic algorithms and simple bp Network Program