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Learning Wireless Java
- Learning Wireless Java
123464949
- 一个单片机学习的网站-a microcontroller learning website
Machine Learning - C++的BP算法源程序
- 一个BP算法的C++实现-an algorithm to achieve C
BP网络
- 这是我参考了n(n>=5,^_^)篇BP神经网优化方法的论文写出的BP神经网源代码，使用了批处理训练方法，带动量项、学习速率的自适应调整、仅对学习精度没有达到指定要求的模式训练，并且训练精度逐步加大，通过这种方法，极大地加快了训练速度；另外，对于0模式和1模式数目相差很大(5-6倍)都能达到很高的学习精度。-This is my reference to the n (NGT; Chapter 5 = ,^_^) BP neura
bpexamples
- 使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network
usbfx2lk
- USBFX2LK WDM drive for OSR s USB FX2 Learning Kit
select-0[1].3.tar
- 使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.
javasom_1[1].0.0
- Kohonen网络的学习过程可描述为：对于每一个网络的输入，只调整一部分权值，使权向量更接近或更偏离输入矢量，这一调整过程就是竞争学习。随着不断的学习过程，所有输入矢量都在输入矢量空间相互分离，形成了各自代表输入空间的一类模式，这就是Kohonen网络的特征自动识别的聚类功能。请解压缩后按照readme提示进行操作。-Kohonen network learning process can be described as follows
S-Isomap
- Descr iption: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and c
C45Rule-PANE
- Descr iption: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zh
RBFS_CODE
- RBFS算法（递归最佳优先搜索：A*家族）和LRTA*算法（联机局部搜索，又名实时学习A*搜索，同为A*家族）实现图的单源最短路径。其中RBFS和LRTA*算法均比狄杰算法效率高！ -RBFS algorithm (recursive best first search :* A family) and the LRTA* algorithm (online local search, also known as real-time
人工智能神经网络源程序
- 对于学习神经网络控制的同志具有参考价值，共同分享-learning neural network control comrades reference value, shared
weka-3-3-5
- own Java code. WEKA 是一个机器学习运算法则，它是为解决真实世界中的数据问题。它用java写成并且几乎可以在任何平台上运行。运算法则能够被直接应用到数据集上或者从你自己的java 码中调用。-own Java code. WEKA is a machine learning algorithms, it is to solve the real-world data. Using java can be written
1111EQ
- LMS自适应均衡仿真matlab例子特征值扩散度，步长参数的学习曲线仿真-LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation
CSharpsharpness
- 南京邮电学院 李建忠 编写一本的很不错的C#学习书 与大家一起分享-NJUPT Jianzhong prepared a very good learning C# book and share with everyone
bp2
- 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
face-detect
- This method entails a machine learning approach for visual object detection, which is capable of processing images extremely rapidly and achieving high detection rates. -This method entails a machine learning app Roach f
GLVQBP
- 本算法采用LVQ竞争学习网络，本算法先用分类再用bp算法进行预测。-the algorithm used LVQ competitive learning networks, the algorithm using the classification algorithm reuse bp forecast.
visualbasic6.0
- vb6.0 学习教程, vb6.0 学习教程-vb6.0 study guides, learning guide vb6.0
c45Algorithm
- C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学 习算法，所需要做的是选取有用的特征，构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful f