这是一篇步态识别和检测的文章：这是在视频流的基础上，区别于以往的静态图像...

背包问题的遗传算法解法-knapsack problem Genetic Algorithm Solution

dv-hop的定位算法，已知网络中几个锚节点就可以计算出网络中其他点的坐标，但这种算法有时由于网络密度的稀疏，可能误差会有一些-dv-hop positioning algorithm, known to the network a few anchor nodes on the network can calculate the coordinates of other points, but this algorithm is sometimes due to the sparse network density may be some errors

这个程序是人工智能里字句归结的一个程序，它采用了线性归结策略和删除策略相结合的方法-the procedure is artificial intelligence Lane words attributed to the procedure, which uses the linear sum strategies and strategy to delete a combination of methods

人工智能中的A*算法解决8number问题-AI A* algorithm to solve the problem 8number

对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah

9。《遗传算法原理及应用》，周明，孙树栋编着 国防工业出版社 1999年第一版 本书全面系统的介绍了遗传算法的基本原理、数学基础、各种主要实现技术，并给出了一些应用实例，同时还简单的介绍了进化计算的基本内容。本书具有系统性强、可读性强、可操作性强的特点。本书可供智能计算、自动控制、系统工程、优化计算、经济管理、运筹学、计算机等专业的研究人员、研究生、高年级大学生参考。 -9. "Genetic Algorithm Theory and Application", Zhou, Sun Shudong compile defense industry publisher in 1999 the first book version of the comprehensive and systematic introduction to the genetic algorithm to the basic principles mathematical basis, the major techniques, and gives some examples, also introduced a simple evolutionary computation of the basic elements. The book is systemic strong, readable, and it can be operational characteristics. The book smart, automatic control, systems engineering, optimization, economic management, and operations. computer and other professional researchers, graduate students and students of high-grade reference.

A*算法，迷宫寻路，初步解析A*算法如何在迷宫寻路-Astar

4。《演化程序――遗传算法和数据编码的结合》，[英]米凯利维兹着 科学出版社 2000年第一版 本书分三个部分共16章分别介绍了:1.遗传算法的概念、数学原理及方法步骤 2.遗传算法和数据编码联系起来所构成的演化程序 3.演化程序面向一些实际问题的应用。 本书语言生动，结构合理，较少使用专业性术语和深涩词汇，适合面临优化问题的研究生、程序员、设计师、工程师及科研工作人员参考。-4. "Evolutionary process-- genetic coding algorithm and data integration," [E] Mikhail Liweici a 520-531 2000 version of the first book in three parts a total of 16 chapters were introduced : 1. Genetic Algorithm concept mathematical principles and methods of Step 2. genetic algorithms and data coding linked posed by the evolution of procedures 3. Evolution-oriented procedures some of the practical problems of application. The book vivid language, reasonable structure, and less use of professional terminology and vocabulary deep acerbic suitable for optimization problems facing graduate students, programmers, designers, engineers and research personnel.

MIT大学的机器学习课程讲稿,很经典的!包括分类,回归,判别式学习,产生式学习,SVM等,基本上包括常用的机器学习算法-MIT University of speech machine learning curriculum, it is classic! Including classification, regression, discriminant study, resulting in learning, SVM, etc., basically including the commonly used machine learning algorithms

神经网络控制作为一种全新的智能控制方法,是解决非线性系统预测和控制问题的一种重要手段,受到了许多专家学者的广泛关注,是目前国内外研究的热点之一。本文着重研究前向神经网络的学习算法,简单探讨了BP算法在逼近非线性系统中各个因素对系统的影响。 -Neural Network Control as a new intelligent control method is to solve the nonlinear system to predict and control an important means by many experts and scholars in a wide range of concerns, is one of the hot research. This article focuses on feedforward neural network learning algorithm, a simple BP algorithm of approximation of nonlinear systems in the various factors on the system.