他算法相当于Infomax贝尔和Sejnowski 1995 [ 1 ]利用最大。

tsp问题，是一个很典型的NP完全问题，该程序用了遗传―退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing

无解压密码，可放心使用-without extracting passwords can be assured use

本人编写的QR分解的神经网络算法，该算法用QR分解神经网络的隐含层矩阵，可以作为学术上的比较和分析。适合各种benchmark问题，本人还加了自动产生分类向量和自动适应各种函数的例子-I prepared the QR decomposition of neural network algorithm using QR decomposition neural network hidden layer matrix, can be used as an academic comparison and analysis. Suitable for a variety of benchmark problems, I also added automatically generated classification and automatic vector function to adapt to a variety of examples

针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.

神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods

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.

粗糙集软件Rosetta，由挪威科技大学计算机与信息科学系和波兰华沙大学数学研究所合作开发的一个基于Rough集理论框架的表格逻辑数据分析工具包-Rough Set software, Rosetta, by the Norwegian University of Science and Technology, Department of Computer and Information Science, University of Warsaw, Poland Institute of Mathematics, co-developed a theoretical framework based on Rough Set the table logical data analysis tool pack

基于自组织特征映射网络的聚类分析，是在神经网络基础上发展起来的一种新的非监督聚类方法，分析了基于自 组织特征映射网络聚类的学习过程，分析了权系数自组织过程中邻域函数和学习步长的一般取值问题，给出了基于自组织 特征映射网络聚类实现的具体算法，并通过实际示例测试，证实了算法的正确性。 -Based on self-organizing feature map network cluster analysis, neural network is developed on the basis of a new non-supervised clustering method, analysis based on self-organizing feature map network clustering of the learning process, analyzed the weights of self-organization the process of neighborhood function and learning step-size problem of the general values are given based on the self-organizing feature map network clustering algorithm to achieve concrete and practical examples of tests, confirmed the correctness of the algorithm.

libsvm在matlab中的应用。把libsvm嵌入matlab中调用。-libsvm in matlab application. Embedded matlab to call libsvm.

这是一本较详细介绍遗传算法原理和应用的书籍，很多应用在本书中多有介绍-This is a more detailed genetic algorithm theory and application of books, many applications in this book presents more