搜索资源列表
dd_tools_1_5_7
- 国外一学者开发的数据描述方法的源代码，几乎包括了所有的数据描述方法，有SVDD，KSVDD等等，将会是一个很好的用于野点检测和模拟识别的工具箱，可直接使用（本人已用过）-foreign scholars development of a data descr iption of the source code, including almost all of the data descr iption, have SVDD, KSVDD etc., will be a good field fo
per_xor
- 使用两层感知器网络解决异或问题，简单的神经网络程序，希望和大家讨论。-This is a simple neural network program. i d like to have a discuss with these who are intrested in the field.
neural_network
- 这个是数字神经在内燃机只能诊断上的一篇非常精彩的文章，我在CNKI上找到的，里面能启迪你在智能诊断领域的眼睛，很有现实意义-This is a digital nerve in the diagnosis of an internal combustion engine can only be a very exciting article I found on CNKI, which can inspire you to the field of intelligent diagnosis e
FuzzyControlBook
- 作者是Kevin M. Passino & Stephen Yurkovich.这本书是好多国外有名大学的教科书,可以说是模糊控制的经典之作.我相信会对学习模糊控制的朋友有很大的帮助.-Written by Kevin M. Passino & Stephen Yurkovich. This book is used as textbook in many worldwide famous universities. It is a masterpiece in fuzzy control fi
LIDAR-Data-Classification
- 用K领域实现点云分类，国外算法，希望对你有用！-Achieved with the K point cloud field classification algorithm abroad, I hope useful to you!
RVM
- 相关向量机，在人工智能领域较新的应用，希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
rvm-for-forecasting
- 相关向量机的电力负荷预测，在人工智能领域较新的应用，希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
learning-of-svm
- 关于相关向量机的学习，在人工智能领域较新的应用，希望大家看一下-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at
Sparse-Bayesian-Learning-and-rvm
- 稀疏贝叶斯学习和相关向量回归，大家可以看一下，人工智能中的应用-Relevance vector machine, new applications in the field of artificial intelligence, I hope you look at...
Semsupervised-learning
- 这是一篇关于半监督的论文，半监督学习问题广泛存在于现实世界中, 已经成为目前机器学习和模式识别领域中的一个研究热点. 文章 综述了半监督学习问题的基本思想、研究现状、常用算法及其一些应用领域, 分析了目前存在的主要困难, 并指出需进一步研究的几个问题.-Sem-i supervised learning has been w idely used in the w orld and become a hot topic in the resear ch field of machine
e119ead869b2fb015502ba4defc5b2f4
- Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.