搜索资源列表
ILC
- 一个简单的迭代学习控制的MATLAB程序-A simple iterative learning control of the MATLAB program
bayesnetwork
- 用k2算法从先验概率构建贝叶斯网络,实现推理,结构学习,参数学习用贝叶斯方法。-K2 algorithm using Bayesian network built from the a priori probability to achieve reasoning, structure learning, parameter learning.
Brainstormers05PublicRelease
- 这是bs球队的仿真2D比赛程序,其中的智能算法和强化学习算法值得借鉴。-This is bs tournament team 2D simulation procedure, in which intelligent algorithms and reinforcement learning algorithm is worth learning from.
Bayesian-machine-learn-data-mining
- 贝叶斯(Bayesion)机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
SVM
- VC++实现的SVM的算法实现,应用于机器学习的好方法.-VC to achieve the SVM algorithm, used in a good way of machine learning.
SGA
- 基本遗传算法的C语言源程序。(遗传算法的应用范围极其广泛,它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。)-Basic genetic algorithm C language source code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, combinatorial
MATLBdePPThedaan
- MATLAB学习的PPT及有关练习题和答案为MATLAB的高级学习提高有效的帮助-MATLAB learning PPT and the exercises and answers for the MATLAB high-level study to help improve the effective
rgznxitijieda
- 人工智能原理及其应用习题解答,应该是还很不错的一个人工智能的学习指导材料-Principle and Application of Artificial Intelligence Exercises answer should be a very good artificial intelligence learning guidance material
maxent-2.5.1
- 最大熵分类器,实现对文本的分类,很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
GraphDemos
- 一个Matlab写的关于图理论以及其在机器学习中应用的教学用GUI软件-Write a Matlab on graph theory and its application in machine learning in the teaching GUI software
simulink
- 很好的MATLAB学习资料,简单易懂,希望对大家有所帮助,!-good works!
fuzzylogicMATLAB
- 一个机器学习算法软件包,包括神经网络,模糊逻辑,支持向量机,采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
lda
- 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
rbf_svm
- 人工神经网络(ANN)的泛化特性是神经网络最重要的特性,同时也是最不容易保证的特性。本程序对改进泛化的神经网络算法以及新兴的机器学习算法——支持向量机算法进行研究,-Artificial Neural Network (ANN) the generalization characteristics of neural networks are the most important characteristics, but also not easy to guarantee the most f
svmclass
- 采用经典的机器学习分类算法SVM,对训练样本进行训练和学习,来实现对预定目标的分类。-Using the classic machine learning classification algorithm SVM, the training samples for training and study to achieve the intended target of the classification.
BP
- 这个学期我学习是神经网络课程,有很多的知识国内都不是很完善,而国外就有很大的进步,下面就是来自一本 <AI for Game>的电子版英文书.其中我就拿用面向对象写的C++类进行说明怎样编写神经网络程序. 神经网络的基本思想就是怎样去改变权值.-This semester my curriculum study are neural networks, there is a lot of internal knowledge is not very perfect, and
ANNPID
- 分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.-Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supe
Boosting_tutorial
- Schapire 所著的Boosting算法的教程。 对目前物体识别和机器学习领域中广泛应用的Boosting算法展开了深入浅出的描述,还有很多Toy Examples。-Tutorial for Boosting algorithm by Schapire
MachineLearningMaterials
- 机器学习讲义机器学习很好的材料内容很全面-Machine Learning Machine Learning Materials Materials is very good all-round
jqagent
- 多Agent系统的理论与技术,为分布式开放系统的分析、设计和实现提供了一条崭新的途径。然而随着相关领域高新技术的迅猛发展,多Agent系统的运行环境日益趋于大型、开放、动态和不确定,迫切需要采用各种智能技术来构建具有自学习能力的Agent,为多Agent系统引入学习机制使其更好地适应复杂环境,从而导致了多Agent系统学习这一新兴研究领域的产生和迅速发展。多Agent系统学习包括采用机器学习等方法从积累的信息或数据中学习用于支持决策的知识,以及为建立多Agent协作、协调和竞争等机制而进行的对