Genetic algorithm in the new multi

小波十讲(中文版),这是个很好的讲义，希望对你有帮助-Ten Lectures on Wavelets (Chinese version), which is a very good lecture notes, want to help you

MATLAB神经网络工具箱ＢＰ算法的比较，比较它们的训练时间长短以所达到的效果-MATLAB neural network toolbox BP algorithm compares the length of their training time in order to achieve the effect of the so

新近出现的很好的计算智能算法，具有很强的鲁棒性，用它发过论文．-It is a very good optimization arithmetic.

模式识别源程序，希望大家能够喜欢，配套书籍是模式识别-Pattern recognition source code, hope that we can like it, matching books are Pattern Recognition

采用面向负荷控制技术，用面向对象思想与快速原型法的设计方法，在SQL SERVER数据库中实现模型及数据的存储。算法尽量简单实用，时间复杂性及空间复杂性必须在实际环境允许的范围之内。-used for load control technology, using the object-oriented thinking and rapid prototyping of the system, SQL Server database implementation model and data storage. As simple and practical algorithm, time and space complexity of complexity in a realistic environment to the extent permitted within.

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.

数据挖掘中的ID3算法源码 决策树的经典算法之一。 -Data Mining Source ID3 decision tree algorithm, one of the classic algorithm.

中科院的分词动态连接库,不用我说了哈,在国内是大名顶顶哈-CAS-term dynamic link library, I do not have said Kazakhstan, in Kazakhstan after another is Daming

neural network limulated in C

〈智能优化算法与应用〉介绍各种优化算法：模拟褪火法、遗传算法、禁忌搜索法、神经网络法、混合优化策略等内容。-"intelligent optimization algorithms and application" on the various optimization algorithms : simulated fire faded, genetic algorithm, Tabu search method, neural networks, hybrid optimization strategy content.