资源列表
CEC-test-2010
- cec2010用于测试智能算法,是带约束问题的测试函数.修复了一些情况下不能用的情况-cec2010 test for intelligent algorithms, is a test function with constraint problem. Fixed some cases the situation can not be used
TestFrame_v1
- 智能算法测试框架,用于测试和开发智能算法.包含单目标,多目标和带约束的问题算法开发-Intelligent algorithm testing framework for testing and development of intelligent algorithms issue contains a single goal, and multi-objective algorithm development with constraints
30-evaluation-Algorithm-in--MATLAB
- 智能算法matlab30例(PDF+代码).原文加代码.希望能帮助到有用的人.之前下载的只有代码,把pdf加上了-Intelligent algorithms matlab30 cases (PDF+ Code). Plus the original code. Hope to help people to be useful. Before you download only the code to add the pdf
SOA
- 人群搜索算法（SOA , Seeker Optimization Algorithm）是基于人类的社会生活习惯，模拟人类搜索活动的智能行为的一种新的基于种群的启发式随机搜索算法。 -People search Algorithm (SOA, Seeker Optimization Algorithm) is based on human social life habit, simulation of the intelligent human search activity of a ki
adaboost
- adboost分类器 matlab源程序 用于训练样本 实现分类-Adaboost classifier Matlab source for training samples to achieve classification
C4_5
- 这是分类树的C4.5算法分类，算法比较简单，但是运行高效，可以对图像进行分类-This is the classification tree C4.5 algorithm classification, the algorithm is relatively simple, but the operation is efficient, you can classify the image
LBP-texture-classification
- 这是利用LBP纹理模型进行纹理分类，运行过，效果不错，-This is the use of LBP texture model for texture classification, run over, the effect is good,
Fisher-classification
- 这是Fisher线性判别分类器，对一般的图像分类效果不错-This is the Fisher linear discriminant classifier, the general image classification effect is good
Model-Predictive-Control
- 预测控制是一种先进的控制方法，用于工业过程控制，实用价值很高-predictive control
Robot-Manipulator
- 机械手的PID控制，非常适合初学者，机械手在日本没有流行-PID for robot
rengongzhineng
- 这是一本关于人工智能的书，并配合了英文版的书后习题的答案。适用于刚接触人工智能的学生，也能够成为人工智能工程师的工具书。-This is a book about artificial intelligence, and with the English version of the book Exercises answer. Suitable for just contact with the artificial intelligence of the students, but also
starter
- 斯坦福大学公开课“深度学习”课程作业答案-Stanford University OpenClass CS294A Deep Learning assignment answer.