资源列表
MATLAB-genetic-algorithm-toolbox
- 介绍遗传算法的原理，流程。详细展示了交叉，变异，选择等算子。同时，还介绍了谢菲尔德大学遗传工具箱的使用 。本书对初学遗传算法者很有帮助。-Introduce the principle of genetic algorithms, processes. Detail shows crossover, mutation, selection operator. Meanwhile, the University of Sheffield also introduced the use of gen
ga
- 一本雷英杰的的MATLAB遗传算法工具箱，希望对学习遗传算法的有帮助。-An LEI of the MATLAB genetic algorithm toolbox, hope to help learning genetic algorithm.
matlab-genetic-algorithm-toolbox-
- matlab遗传算法工具箱及应用 书中通过大量实例，介绍了如何利用提供的遗传算法工具箱函数来编写MATLAB函数，解决实际问题-matlab genetic algorithm toolbox and its application
MATLAB-GAtool
- 主要讲述遗传算法的应用及其程序的编写，介绍了在MATLAB中遗传算法工具箱的用法。-Focuses on the Application of genetic algorithms and its procedures for preparing, presenting the usage of genetic algorithm toolbox in MATLAB.
matlab-book
- 本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识，包括遗传算法的基本原理，编码、选择、交叉、变异，适应度函数，控制参数选择，约束条件处理，模式定理，改进的遗传算法，早熟收敛问题及其防止等。第五章至第七章介绍英国设菲尔德（Sheffield）大学的MATLAB遗传算法工具箱及其使用方法，举例说明如何利用遗传算法工具箱函数编写求解实际优化问题的MATLAB程序。第八章和第九章介绍MathWorks公司最新发布的MAT
MATLABtoolbooks
- 雷英杰的matlab遗传算法工具箱及应用,内有很多实例的编码-LEI Yingjie of Matlab Toolbox and the Genetic Algorithm application, there are many examples of coding
MATLABtoolboxandapplicationofgeneticalgorithms
- 非常有用的一本书，介绍matlab的遗传算法工具箱
yichuansuanfatool
- 详细介绍了MATLAB遗传算法工具箱及在工程方面的应用，有了这本书，可以很方便地使用遗传算法解决问题了-Detailed MATLAB genetic algorithm toolbox and its application in engineering, with this book, it is easy to use genetic algorithms to solve the problem of
MATLAB
- 本书详细介绍了遗传算法的相关知识，是一本比较不错的好书噢-This book details the knowledge of genetic algorithms is a relatively good books Oh! ! !
Intro to Machine Learning.pdf
- INTRODUCTION TO MACHINE LEARNING Alex Smola and S.V.N. Vishwanathan
KNN-Face-Recognition
- KNN分类算法实现人脸识别，数据集为ORL。训练样本分别为2、4、6，其余为测试样本。-KNN classification algorithm for face recognition, the data set for the ORL. 2,4,6 training samples respectively, the rest of the test samples.
UFLDL-1
- Andrew Ng老师的关于unsupervised feature learning and deep learning的入门电子书-An introduction to unsupervised feature learning and deep learning from Andrew Ng