搜索资源列表
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
machine-learningPPT
- 书中主要涵盖了目前机器学习中各种最实用的理论和算法，包括概念学习、决策树、神经网络、贝叶斯学习、基于实例的学习、遗传算法、规则学习、基于解释的学习和增强学习等-The book mainly covers the current variety of the most practical machine learning theory and algorithms, including the concept of learning, decision trees, neural network
multiagent_q_learning
- 多用户环境中，增强学习算法仿真实验，特别是多用户Q学习算法的应用-In multi-agent scenarios, this package provides a very good simulation tool for multi-agent Q-learning algorithm.
EI_ELM
- 极端学习机的改进算法，增强随机搜索能力的极端学习机EI-ELM主程序-Improved algorithm for extreme learning machine, and enhance the ability of random search of extreme learning machine EI-ELM main
KLSPI-Algorithm-theory
- 基于核函数的增强学习算法的理论分析与算法描述，及其在反馈控制上的应用-Based on theoretical analysis and descr iption of reinforcement learning algorithm kernel function, and its application in the feedback control
digital-image-processing
- 数字图像处理，简单介绍图像的增强，压缩，二值化以及相关的图像处理技术，适合入门者学习图像处理相关的知识。-Digital image processing is introduced, enhancement, image compression, the value of two and the related image processing technology, suitable for beginners to learn the relevant knowledge of image
rlcpp
- 增强学习部分算法的c++实现（sarsa、Q-learning、QV-learning）-reinforcement learning by c++
Q-Learing-path-planning-MATLAB
- 基于增强学习Q-learning方法的路径规划matlab仿真程序-Based on the enhanced learning Q-learning method of path planning matlab simulation program
sourceCode
- 用python 语言结合DNN简单实现语音增强(DNN speech enhancement)
neural network.rar
- 帮助学习竞争神经网络与SOM神经网络的原理和matlab代码，增强对神经网络的理解和matlab编程能力。(Help to learn the principles of the competitive neural network and the SOM neural network and the matlab code, enhance the understanding of neural network and the ability of MATLAB programming.)
CS294
- 机器学习文档，CS294主要讲深度增强学习，课程实例很多，相信对学习有所帮助。(Machine Learning,Mainly speaking of deep reinforcement learning,,many examples of courses,I believe that learning helps.)
matlab Q学习仿真
- 基于Q学习算法，寻找最优路径，是强化学习中的一种，很实用，代码很详细，有备注(Searching for the optimal path based on Q algorithm is a kind of reinforcement learning. It is very practical, the code is very detailed, with notes.)
重要-SARSA
- 强化学习的一种，基于sarsa算法，寻找最优路径，可运行(One kind of reinforcement learning, based on sarsa algorithm, seeks the optimal path, which can run)