资源列表
FANN-2.2.0-Source
- FANN 2.20 Source code.Fast Artificial Neural Network Library是一个免费开源的神经网络库，它用C实现了支持全连接及稀连接的多层人工神经网络，并且支持定点和浮点数的跨平台运行。库中包含有易于处理训练数据的框架。它易于使用、通用、文档完备并且快速。目前已有PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data 和 Mathematica的绑定。库中还附有一本带例子
神经网络_36篇论文
- 大量神经网络论文供大家学习参考，为人类多做一点贡献(A large number of neural network papers for your learning reference, for human beings to make a little contribution)
36NN
- 36篇关于神经网络的论文 对初学者大有益处
tutorialonNNs
- Neural Network tutorial
data-mining
- 数据挖掘的入门书籍,书中对数据挖掘的原理和方法有很详细的介绍-The introduction of data mining
datamining
- 数据挖掘导论，作为入门的不错资料-Introduction to data mining, as the entry of good information
kaon2-bin-2008-01-14
- 本体推理工具 共八个例子:从如何建立本体到做一些简单的的本体推理-Ontology reasoning instrument :eight examples: from how to set up body to do some simple ontological reasoning
rsagarwal
- a book on aptitude with recent short cut techniques
Data-mining
- 数据挖掘导论 着重介绍数据挖掘于数据库知识发现的基本知识。-DATA mining
src
- 人工智能中的八数码难题 这个采用的是广度优先以及启发式算法 -Artificial intelligence in the digital challenge of the eight is used, as well as breadth-first heuristic
JRACS
- 基于分割的目标跟踪算法，效果很好，有注释，-Target tracking algorithm based on segmentation, the effect is very good, have a comment,
Trajectory-tracking-from-detector
- The files written out by the detection process are used as input for the tracker to infer trajectories of each object. The tracker needs to deal with different scenarios