资源列表
optimization
- 最优化算法的总结，包括了主要的搜索算法，NP问题，遗传算法，神经网络，拉格朗日松弛，对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer op
TRAOD_Algorithm
- 基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 -Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two gr
SRCNN
- 包含SRCNN训练好的模型，常用训练图像，以及SRCNNmatlab代码，注释详细(Including srcnn trained models, common training images, and srcnmatlab code, with detailed notes)
underwater-multi-target-tracking
- 国内一本介绍和研究水下多目标跟踪理论的书，作者是党建武-Introduction and study of domestic an underwater multi-target tracking theory book, the author is Dang jianwu
Machine Learning in Action
- 机器学习重点推荐点推荐，学习必杀技点推荐，学习必杀技(machine leaing a probabilistic perspective)
Machine-Learning-in-Action
- 分析常见的机器学习算法，并进行实际的应用，能够很好的熟练掌握-Analysis of common machine learning algorithms, and the actual application, can be a good grasp
遗传算法原理及应用
- 这是一本较详细介绍遗传算法原理和应用的书籍，很多应用在本书中多有介绍-This is a more detailed genetic algorithm theory and application of books, many applications in this book presents more
scikit-learn-master03
- 用python学习scikit-learn 03(Learning scikit-learn with Python 03)
scikit-learn-master
- 用python学习scikit-learn(Learning scikit-learn with Python)
5
- BP学习算法逼近墨西哥草帽函数 在Windows环境中利用Matlab实现BP学习算法在达到期望均方误差最小的情况下正确表达墨西哥草帽函数。 实验目的：1.理解BP神经网络结构模型，初步了解BP网络的用途。 2.学习BP学习算法，掌握误差往回传播网络的构建思想。 3.能够正确使用BP学习算法表达墨西哥草帽函数。 -BP learning algorithm Mexican hat function approximation BP learning algorithm
weka-src
- weka 3.7源代码包 WEKA的全名是怀卡托智能分析环境(Waikato Environment for Knowledge Analysis)-weka 3.7 source code package WEKA full name is the intelligent analysis of the environment Waikato (Waikato Environment for Knowledge Analysis)
BP
- BP神经网络在股票预测中的应用研究 硕士毕业论文-BP neural network prediction in the stock Master' s Thesis Research